CN113988516A - Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal - Google Patents

Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal Download PDF

Info

Publication number
CN113988516A
CN113988516A CN202111134419.2A CN202111134419A CN113988516A CN 113988516 A CN113988516 A CN 113988516A CN 202111134419 A CN202111134419 A CN 202111134419A CN 113988516 A CN113988516 A CN 113988516A
Authority
CN
China
Prior art keywords
power plant
benefit
virtual power
cost
saving
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111134419.2A
Other languages
Chinese (zh)
Inventor
毛田
谢平平
程韧俐
赵文猛
王滔
周保荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China South Power Grid International Co ltd
Original Assignee
China South Power Grid International Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China South Power Grid International Co ltd filed Critical China South Power Grid International Co ltd
Priority to CN202111134419.2A priority Critical patent/CN113988516A/en
Publication of CN113988516A publication Critical patent/CN113988516A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to a virtual power plant comprehensive benefit assessment method, which comprises the following steps: obtaining a first evaluation index of a virtual power plant according to the cost of saving power generation capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant; obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost; obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant; and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit. Compared with the prior art, the method can fully consider the potential risks of the virtual power plant, carry out diversity and all-around evaluation on the benefits of the virtual power plant, and meet the actual application requirements.

Description

Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal
Technical Field
The application relates to the technical field of virtual power plant application, in particular to a virtual power plant comprehensive benefit assessment method, a virtual power plant comprehensive benefit assessment system, a storage medium and a power terminal.
Background
In recent years, conventional fossil energy systems represented by oil and gas are being transformed to modern energy systems represented by renewable energy, and new problems are generated in the process. In this context, the concept of "virtual power plants" arises. The virtual power plant is a new generation intelligent control technology for the clean and low-carbon development of the aggregation optimization 'source-network-load'. The technical mode can fully utilize distributed resources without transforming the power grid, realize the multi-energy complementation at the power supply side and the flexible interaction at the load side, provide electric energy and auxiliary service for the power grid, and provide a prospective technical solution for solving the worldwide problem of clean energy consumption and low-carbon energy transformation.
The normal operation of the virtual power plant can not be separated from certain equipment transformation and technology upgrading, the potential risk of the virtual power plant can be evaluated in an all-around manner, and the method has important significance for relevant policy making and engineering application of the virtual power plant. However, most of the existing evaluations for the virtual power plant focus on the economic risk generated by the operation of the virtual power plant, and the feasibility of the operation of the virtual power plant cannot be comprehensively evaluated.
Disclosure of Invention
Therefore, in order to solve the technical problems, it is necessary to provide a virtual power plant comprehensive benefit assessment method, system, storage medium and power terminal, which can fully consider the potential risk of a virtual power plant and perform diversified and comprehensive assessment on the cost of the virtual power plant.
The embodiment of the invention provides a virtual power plant comprehensive benefit evaluation method, which comprises the following steps:
obtaining a first evaluation index of a virtual power plant according to the cost of saving power generation capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant;
obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost;
obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant;
and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit.
Further, the method for obtaining the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant comprises the following steps:
inputting the unit cost of newly added traditional power generation equipment, the unit cost of a virtual power plant and the total capacity of the virtual power plant into a cost model for saving the generating capacity to obtain the cost for saving the generating capacity;
inputting the power transmission and distribution cost and the total capacity of the virtual power plant, which are matched with the newly added traditional power supply for power generation, into a power transmission and distribution cost saving model to obtain the power transmission and distribution cost saving model;
and inputting the peak clipping response capacity, the valley filling response capacity, the first response time, the second response time, the peak clipping incentive cost and the valley filling incentive cost into an operation benefit model to obtain the operation benefit.
Further, the cost model for saving the power generation capacity is as follows:
Ecap=(pG,f-pVPP)×CVPP
wherein E iscapTo save cost of generating capacity, pG,fTo increase the unit cost of the conventional power generation equipment, pVPPFor virtual plant unit cost, CVPPIs the virtual plant total capacity;
the model for saving the power transmission and distribution cost comprises the following steps:
ET&D=CG,T&D×CVPP
wherein E isT&DTo save transmission and distribution costs, CG,T&DThe power transmission and distribution cost required for generating power by the newly added traditional power supply is reduced;
the operation benefit model is as follows:
ES=ΔCS×Δt1×pVPP,S
EF=ΔCF×Δt2×pVPP,F
wherein E isSAnd EFRespectively peak clipping benefit and valley filling benefit, Δ CSAnd Δ CFRespectively representing peak clipping response capacity and valley filling response capacity; Δ t1、Δt2Is the first and second response time length, pVPP,SAnd pVPP,FRespectively, the peak clipping incentive cost and the valley filling incentive cost.
Further, the method for obtaining the power supply reliability improvement value and the land saving cost comprises the following steps:
inputting the load loss value, the system power shortage expectation when response does not need to be solved and the system power shortage expectation when response is required into a power supply reliability model to obtain the power supply reliability improvement value;
and inputting the cost of the occupied area and the industrial land in unit area required by constructing the traditional power supply power plant into a land saving model to obtain the land saving cost.
Further, the power supply reliability model is as follows:
ER=VOLL×(EENSm-EENSd)
wherein E isRFor increased value of power supply reliability, VOLL is loss of load value, EENSmAnd EENSdRespectively obtaining the system electric energy shortage expectation when the response is not required and the system electric energy shortage expectation when the response is required;
the land conservation model is as follows:
Eland=SG×CG,land
wherein E islandFor saving landCost, SGArea required for building a power plant with a conventional power supply, CG,landIs the cost per unit area of industrial land.
Further, the method for obtaining the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit comprises the following steps:
inputting the unit price of the standard coal and the total amount of the substituted standard coal into a coal saving model to obtain the coal saving benefit; the total substituted standard coal amount is obtained by the annual total running hours of the virtual power plant, the utilization rate of clean energy of the virtual power plant and the electricity-coal conversion coefficient;
inputting the carbon dioxide emission reduction amount and the carbon emission transaction price into a carbon emission reduction model to obtain the carbon emission reduction benefit; the carbon dioxide emission reduction standard coal is obtained by converting a carbon dioxide coefficient and a total replaced standard coal amount;
inputting the sulfur dioxide emission reduction amount and the sulfur dioxide pollution discharge right price into a sulfur emission reduction model to obtain the sulfur emission reduction benefit; the sulfur dioxide reduction amount is obtained by the conversion coefficient of standard coal to sulfur dioxide and the total amount of the replaced standard coal.
Further, the coal saving model is as follows:
Figure BDA0003279364160000041
wherein E iscoalFor coal saving efficiency, pcoalIs the standard coal unit price, CcoalFor a total standard coal quantity, T, of substitutionVPPIs the annual total running hours of the virtual power plant, lambda is the utilization rate of clean energy of the virtual power plant,
Figure BDA0003279364160000042
the conversion coefficient of the electricity and the coal is obtained;
the carbon emission reduction model is as follows:
Ecarbon=ΔWcarbon×pcarbon=βc×Ccoal×pcarbon
wherein E iscarbonFor carbon emission benefit,. DELTA.WcarbonFor reduction of carbon dioxide emission, pcarbonTrading for carbon emissionsPrice,. beta.cThe carbon dioxide coefficient is converted into standard coal;
the sulfur emission reduction model is as follows:
Esulfur=ΔWsulfur×psulfur=βs×Ccoal×psulfur
in the formula, EsulfurFor sulfur emission reduction benefit,. DELTA.WsulfurFor sulfur dioxide reduction, psulfurIs the sulfur dioxide emission right price, betasThe standard coal is converted into sulfur dioxide coefficient.
Another embodiment of the invention provides a comprehensive benefit evaluation system for a virtual power plant, which solves the problem that the existing evaluation of the virtual power plant mostly focuses on economic risks generated by the operation of the virtual power plant, and the feasibility of the operation of the virtual power plant cannot be evaluated in an all-around manner.
The virtual power plant comprehensive benefit evaluation system provided by the embodiment of the invention comprises the following steps:
the first evaluation module is used for obtaining a first evaluation index of the virtual power plant according to the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant;
the second evaluation module is used for obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost;
the third evaluation module is used for obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant;
and the comprehensive evaluation module is used for obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit.
Another embodiment of the present invention further provides an electric power terminal, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the virtual plant integrated benefits assessment method as described above.
According to the virtual power plant comprehensive benefit evaluation method, a first evaluation index of the virtual power plant is obtained according to the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant; obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost; obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant; obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index; and comparing the obtained comprehensive benefit of the virtual power plant with a preset range value of the grade to obtain the grade of the construction benefit of the virtual power plant, so that the construction scheme of the virtual power plant can be conveniently determined according to the grade of the construction benefit of the current virtual power plant. Compared with the prior art, the method can fully consider the potential risks of the virtual power plant, carry out diversity and omnibearing evaluation on the cost of the virtual power plant, provide important basis for value analysis, construction investment, relevant policy making and the like of the virtual power plant, and meet the actual application requirements.
Drawings
Fig. 1 is a schematic flow chart of a virtual power plant comprehensive benefit evaluation method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a virtual power plant comprehensive benefit evaluation system according to an embodiment of the present invention;
fig. 3 is a structural diagram of an electric power terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without any inventive step, are within the scope of the present invention.
It should be noted that, the step numbers in the text are only for convenience of explanation of the specific embodiments, and do not serve to limit the execution sequence of the steps. The method provided by the embodiment can be executed by the relevant server, and the server is taken as an example for explanation below.
As shown in fig. 1, a virtual power plant overall benefit evaluation method provided by an embodiment of the present invention is executed by a cost evaluation device for controlling the virtual power plant overall benefit evaluation operation, referring to fig. 1, the method includes steps S11 to S14:
and step S11, obtaining a first evaluation index of the virtual power plant according to the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant.
Specifically, the unit cost of the traditional power generation equipment, the unit cost of the virtual power plant and the total capacity of the virtual power plant are newly added, and a model for saving the generating capacity is input to obtain the cost for saving the generating capacity of the virtual power plant.
The cost model for saving the generating capacity is as follows:
Ecap=(pG,f-pVPP)×CVPP
wherein E iscapTo save cost of generating capacity, pG,fTo increase the unit cost of the conventional power generation equipment, pVPPFor virtual plant unit cost, CVPPIs the virtual total power plant capacity.
Specifically, the power transmission and distribution cost and the total capacity of the virtual power plant, which are required by the newly added traditional power supply for power generation, are input into a saving power transmission and distribution cost model, and the saving power transmission and distribution cost of the virtual power plant is obtained.
The model for saving the power transmission and distribution cost comprises the following steps:
ET&D=CG,T&D×CVPP
wherein E isT&DTo save transmission and distribution costs, CG,T&DThe power transmission and distribution cost required by the power generation of the newly added traditional power supply is reduced.
Specifically, the peak clipping response capacity, the valley filling response capacity, the first response time, the second response time, the peak clipping excitation cost and the valley filling excitation cost are input into an operation benefit model, and the operation benefit of the virtual power plant is obtained.
The operation benefit model is as follows:
ES=ΔCS×Δt1×pVPP,S
EF=ΔCF×Δt2×pVPP,F
wherein E isSAnd EFRespectively peak clipping benefit and valley filling benefit, Δ CSAnd Δ CFRespectively representing peak clipping response capacity and valley filling response capacity; Δ t1、Δt2Is the first and second response time length, pVPP,SAnd pVPP,FRespectively, the peak clipping incentive cost and the valley filling incentive cost.
It can be understood that according to the acquisition of the cost of saving the generating capacity, the cost of saving the power transmission and distribution and the operation benefit of the virtual power plant, necessary conditions are provided for obtaining the first evaluation index of the virtual power plant. Meanwhile, the annual average benefit of the virtual power plant, namely the feasibility, is evaluated conveniently through a first evaluation index formed by saving the generating capacity cost, the power transmission and distribution cost and the operation benefit of the virtual power plant.
And step S12, obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost.
Specifically, the load loss value, the system power shortage expectation when no response is required and the system power shortage expectation when a response is required are input into the power supply reliability model, and the power supply reliability improvement value of the virtual power plant is obtained.
The power supply reliability model is as follows:
ER=VOLL×(EENSm-EENSd)
wherein E isRFor increased value of power supply reliability, VOLL is loss of load value, EENSmAnd EENSdRespectively, a system power shortage expectation when no response is required and a system power shortage expectation when a response is required.
Specifically, the cost of the floor area and the industrial land of unit area required by the traditional power supply power plant is input into a land saving model, and the land saving cost of the virtual power plant is obtained.
The land conservation model is as follows:
Eland=SG×CG,land
wherein E islandFor land saving of cost, SGArea required for building a power plant with a conventional power supply, CG,landIs the cost per unit area of industrial land.
It can be understood that the power supply reliability improvement value of the virtual power plant is obtained through the power supply reliability model, the land saving cost of the virtual power plant is obtained through the land saving model, and therefore the power supply reliability improvement value and the second evaluation index formed by the land saving cost are conveniently obtained according to the second evaluation index, and the power supply reliability and the applicability are evaluated.
And step S13, obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant.
Specifically, the unit price of the standard coal and the total amount of the substituted standard coal are input into a coal saving model to obtain the coal saving benefit of the virtual power plant; and the substituted total standard coal quantity is obtained by the annual total running hours of the virtual power plant, the utilization rate of clean energy of the virtual power plant and the electricity-coal conversion coefficient.
The coal saving model comprises the following steps:
Figure BDA0003279364160000081
wherein E iscoalFor coal saving efficiency, pcoalIs the standard coal unit price, CcoalFor a total standard coal quantity, T, of substitutionVPPIs the annual total running hours of the virtual power plant, lambda is the utilization rate of clean energy of the virtual power plant,
Figure BDA0003279364160000082
the conversion coefficient of the electricity and the coal is obtained.
Specifically, carbon dioxide emission reduction amount and carbon emission transaction price are input into a carbon emission reduction model, and the carbon emission reduction benefit of the virtual power plant is obtained; the carbon dioxide emission reduction standard coal is obtained by converting the carbon dioxide coefficient and the total replaced standard coal amount.
The carbon emission reduction model is as follows:
Ecarbon=ΔWcarbon×pcarbon=βc×Ccoal×pcarbon
wherein E iscarbonFor carbon emission benefit,. DELTA.WcarbonFor reduction of carbon dioxide emission, pcarbonTrading price for carbon emissions, betacThe carbon dioxide coefficient is reduced for standard coal.
Specifically, the sulfur dioxide emission reduction amount and the sulfur dioxide pollution discharge right price are input into a sulfur emission reduction model, so that the sulfur emission reduction benefit of the virtual power plant is obtained; the sulfur dioxide reduction amount is obtained by the conversion coefficient of standard coal to sulfur dioxide and the total amount of the replaced standard coal.
The sulfur emission reduction model is as follows:
Esulfur=ΔWsulfur×psulfur=βs×Ccoal×psulfur
in the formula, EsulfurFor sulfur emission reduction benefit,. DELTA.WsulfurFor sulfur dioxide reduction, psulfurIs the sulfur dioxide emission right price, betasThe standard coal is converted into sulfur dioxide coefficient.
It can be understood that the coal saving benefit of the virtual power plant is obtained through the coal saving model, the carbon emission reduction benefit of the virtual power plant is obtained through the carbon emission reduction model, and the sulfur emission reduction benefit is obtained through the sulfur emission reduction model of the virtual power plant. Therefore, the environmental benefits and feasibility of the virtual power plant can be conveniently evaluated according to the third evaluation indexes formed by the coal saving benefits, the carbon emission reduction benefits and the sulfur emission reduction benefits.
The application test point implementation case of a 200MW virtual power plant in a certain area is taken as an illustration of the patent. Table 1 gives the basic parameters implemented for the virtual plant's overall benefit evaluation:
TABLE 1 basic parameters for comprehensive benefit evaluation implementation of virtual power plant in certain area
Figure BDA0003279364160000091
Figure BDA0003279364160000101
TABLE 2 evaluation results of comprehensive benefits of virtual power plant in certain area
Figure BDA0003279364160000102
From the results, the comprehensive benefits of the application test points of the 200MW virtual power plants in the area are as follows:
in the aspect of operation benefit, the operation of a 200MW virtual power plant is expected to save the generating capacity and the total investment of power transmission and distribution by 7.37 million yuan, and 0.18 million yuan of peak clipping and valley filling operation income is obtained every year;
in the aspect of power supply benefit, the investment of land can be reduced by 9 million yuan in the operation of a 200MW virtual power plant, and the annual average power supply reliability benefit is about 0.006 million yuan;
and in the aspect of environmental benefit, the estimated annual average environmental income of the 200MW virtual power plant is about 0.026 billion yuan.
And S14, obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit.
As described above, the obtained comprehensive benefit of the virtual power plant is compared with the preset range value of the grade through the first evaluation index, the second evaluation index and the third evaluation index to obtain the grade of the construction benefit of the virtual power plant, so that the construction scheme of the virtual power plant can be conveniently determined according to the grade of the construction benefit of the current virtual power plant.
According to the virtual power plant comprehensive benefit evaluation method, a first evaluation index of the virtual power plant is obtained according to the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant; obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost; obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant; and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit. Compared with the prior art, the method can fully consider the potential risks of the virtual power plant, carry out diversity and all-around evaluation on the benefits of the virtual power plant, provide important basis for value analysis, construction investment, relevant policy making and the like of the virtual power plant, and meet the actual application requirements.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
As shown in fig. 2, the present invention provides a structural block diagram of a virtual power plant comprehensive benefit evaluation system, where the system includes:
the first evaluation module 21 is configured to obtain a first evaluation index of the virtual power plant according to the cost of saving the generating capacity, the cost of saving power transmission and distribution, and the operation benefit of the virtual power plant.
Specifically, the unit cost of the newly-added traditional power generation equipment, the unit cost of the virtual power plant and the total capacity of the virtual power plant are input into a cost model for saving the generating capacity, so as to obtain the cost for saving the generating capacity;
inputting the power transmission and distribution cost and the total capacity of the virtual power plant, which are matched with the newly added traditional power supply for power generation, into a power transmission and distribution cost saving model to obtain the power transmission and distribution cost saving model;
and inputting the peak clipping response capacity, the valley filling response capacity, the first response time, the second response time, the peak clipping excitation cost and the valley filling excitation cost into an operation benefit model to obtain the operation benefit.
Further, the cost model for saving the power generation capacity is as follows:
Ecap=(pG,f-pVPP)×CVPP
wherein E iscapTo save cost of generating capacity, pG,fTo increase the unit cost of the conventional power generation equipment, pVPPFor virtual plant unit cost, CVPPIs the virtual plant total capacity;
the model for saving the power transmission and distribution cost comprises the following steps:
ET&D=CG,T&D×CVPP
wherein E isT&DTo save transmission and distribution costs, CG,T&DThe power transmission and distribution cost required for generating power by the newly added traditional power supply is reduced;
the operation benefit model is as follows:
ES=ΔCS×Δt1×pVPP,S
EF=ΔCF×Δt2×pVPP,F
wherein E isSAnd EFRespectively peak clipping benefit and valley filling benefit, Δ CSAnd Δ CFRespectively representing peak clipping response capacity and valley filling response capacity; Δ t1、Δt2Is the first and second response time length, pVPP,SAnd pVPP,FRespectively, the peak clipping incentive cost and the valley filling incentive cost.
And the second evaluation module 22 is used for obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost.
Specifically, the load loss value, the system power shortage expectation when no response is required and the system power shortage expectation when a response is required are input into a power supply reliability model to obtain the power supply reliability improvement value;
and inputting the cost of the occupied area and the industrial land in unit area required by constructing the traditional power supply power plant into a land saving model to obtain the land saving cost.
Further, the power supply reliability model is as follows:
ER=VOLL×(EENSm-EENSd)
wherein E isRFor increased value of power supply reliability, VOLL is loss of load value, EENSmAnd EENSdRespectively obtaining the system electric energy shortage expectation when the response is not required and the system electric energy shortage expectation when the response is required;
the land conservation model is as follows:
Eland=SG×CG,land
wherein E islandFor land saving of cost, SGArea required for building a power plant with a conventional power supply, CG,landIs the cost per unit area of industrial land.
And the third evaluation module 23 is configured to obtain a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant.
Specifically, the unit price of the standard coal and the total amount of the substituted standard coal are input into a coal saving model to obtain the coal saving benefit; the total substituted standard coal amount is obtained by the annual total running hours of the virtual power plant, the utilization rate of clean energy of the virtual power plant and the electricity-coal conversion coefficient;
inputting the carbon dioxide emission reduction amount and the carbon emission transaction price into a carbon emission reduction model to obtain the carbon emission reduction benefit; the carbon dioxide emission reduction standard coal is obtained by converting a carbon dioxide coefficient and a total replaced standard coal amount;
inputting the sulfur dioxide emission reduction amount and the sulfur dioxide pollution discharge right price into a sulfur emission reduction model to obtain the sulfur emission reduction benefit; the sulfur dioxide reduction amount is obtained by the conversion coefficient of standard coal to sulfur dioxide and the total amount of the replaced standard coal.
Further, the coal saving model is as follows:
Figure BDA0003279364160000131
wherein E iscoalFor coal saving efficiency, pcoalIs the standard coal unit price, CcoalFor a total standard coal quantity, T, of substitutionVPPIs the annual total running hours of the virtual power plant, lambda is the utilization rate of clean energy of the virtual power plant,
Figure BDA0003279364160000132
the conversion coefficient of the electricity and the coal is obtained;
the carbon emission reduction model is as follows:
Ecarbon=ΔWcarbon×pcarbon=βc×Ccoal×pcarbon
wherein E iscarbonFor carbon emission benefit,. DELTA.WcarbonFor reduction of carbon dioxide emission, pcarbonTrading price for carbon emissions, betacThe carbon dioxide coefficient is converted into standard coal;
the sulfur emission reduction model is as follows:
Esulfur=ΔWsulfur×psulfur=βs×Ccoal×psulfur
in the formula, EsulfurFor sulfur emission reduction benefit,. DELTA.WsulfurFor sulfur dioxide reduction, psulfurIs the sulfur dioxide emission right price, betasThe standard coal is converted into sulfur dioxide coefficient.
And the comprehensive evaluation module 24 is configured to obtain the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determine the construction scheme of the virtual power plant according to the comprehensive benefit.
According to the comprehensive benefit evaluation system of the virtual power plant, provided by the embodiment of the invention, a first evaluation index of the virtual power plant is obtained according to the cost of saving the power generation capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant; obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost; obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant; and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit. Compared with the prior art, the method can fully consider the potential risks of the virtual power plant, carry out diversity and all-around evaluation on the benefits of the virtual power plant, provide important basis for value analysis, construction investment, relevant policy making and the like of the virtual power plant, and meet the actual application requirements.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program controls the device on which the computer readable storage medium is located to execute the virtual power plant comprehensive benefit assessment method.
An embodiment of the present invention further provides an electric power terminal, which is shown in fig. 3 and is a block diagram of a preferred embodiment of the electric power terminal provided by the present invention, the electric power terminal includes a processor 10, a memory 20, and a computer program stored in the memory 20 and configured to be executed by the processor 10, and the processor 10, when executing the computer program, implements the virtual plant comprehensive benefit assessment method described above.
Preferably, the computer program can be divided into one or more modules/units (e.g. computer program 1, computer program 2,) which are stored in the memory 20 and executed by the processor 10 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the power terminal.
The Processor 10 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor 10 may be any conventional Processor, the Processor 10 is a control center of the power terminal, and various interfaces and lines are used to connect various parts of the power terminal.
The memory 20 mainly includes a program storage area that may store an operating system, an application program required for at least one function, and the like, and a data storage area that may store related data and the like. In addition, the memory 20 may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or the memory 20 may also be other volatile solid state memory devices.
It should be noted that the above-mentioned power terminal may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the structural block diagram in fig. 3 is only an example of the power terminal and does not constitute a limitation of the power terminal, and may include more or less components than those shown in the drawings, or may combine some components, or different components.
To sum up, according to the method, the system, the storage medium and the power terminal for evaluating the comprehensive benefits of the virtual power plant provided by the embodiment of the invention, the first evaluation index of the virtual power plant is obtained according to the cost of saving the power generation capacity, the cost of saving power transmission and distribution and the operation benefits of the virtual power plant; obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost; obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant; and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit. Compared with the prior art, the method can fully consider the potential risks of the virtual power plant, carry out diversity and all-around evaluation on the benefits of the virtual power plant, and meet the actual application requirements.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A virtual power plant comprehensive benefit assessment method is characterized by comprising the following steps:
obtaining a first evaluation index of a virtual power plant according to the cost of saving power generation capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant;
obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost;
obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant;
and obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit.
2. The method for evaluating the comprehensive benefits of the virtual power plant according to claim 1, wherein the method for obtaining the cost of saving the power generation capacity, the cost of saving the power transmission and distribution and the operation benefits of the virtual power plant comprises the following steps:
inputting the unit cost of newly added traditional power generation equipment, the unit cost of a virtual power plant and the total capacity of the virtual power plant into a cost model for saving the generating capacity to obtain the cost for saving the generating capacity;
inputting the power transmission and distribution cost and the total capacity of the virtual power plant, which are matched with the newly added traditional power supply for power generation, into a power transmission and distribution cost saving model to obtain the power transmission and distribution cost saving model;
and inputting the peak clipping response capacity, the valley filling response capacity, the first response time, the second response time, the peak clipping incentive cost and the valley filling incentive cost into an operation benefit model to obtain the operation benefit.
3. The virtual power plant composite benefit assessment method according to claim 2,
the cost model for saving the generating capacity is as follows:
Ecap=(pG,f-pVPP)×CVPP
wherein E iscapTo save cost of generating capacity, pG,fTo increase the unit cost of the conventional power generation equipment, pVPPFor virtual plant unit cost, CVPPIs the virtual plant total capacity;
the model for saving the power transmission and distribution cost comprises the following steps:
ET&D=CG,T&D×CVPP
wherein E isT&DTo save transmission and distribution costs, CG,T&DThe power transmission and distribution cost required for generating power by the newly added traditional power supply is reduced;
the operation benefit model is as follows:
ES=ΔCS×Δt1×pVPP,S
EF=ΔCF×Δt2×pVPP,F
wherein E isSAnd EFRespectively peak clipping benefit and valley filling benefit, Δ CSAnd Δ CFRespectively representing peak clipping response capacity and valley filling response capacity; Δ t1、Δt2Is the first and second response time length, pVPP,SAnd pVPP,FRespectively, the peak clipping incentive cost and the valley filling incentive cost.
4. The virtual power plant integrated benefit assessment method according to claim 1, wherein the method of obtaining the power supply reliability improvement value and land saving cost comprises:
inputting the load loss value, the system power shortage expectation when response does not need to be solved and the system power shortage expectation when response is required into a power supply reliability model to obtain the power supply reliability improvement value;
and inputting the cost of the occupied area and the industrial land in unit area required by constructing the traditional power supply power plant into a land saving model to obtain the land saving cost.
5. The virtual power plant composite benefit assessment method according to claim 4,
the power supply reliability model is as follows:
ER=VOLL×(EENSm-EENSd)
wherein E isRFor increased value of power supply reliability, VOLL is loss of load value, EENSmAnd EENSdRespectively obtaining the system electric energy shortage expectation when the response is not required and the system electric energy shortage expectation when the response is required;
the land conservation model is as follows:
Eland=SG×CG,land
wherein E islandFor land saving of cost, SGArea required for building a power plant with a conventional power supply, CG,landIs the cost per unit area of industrial land.
6. The virtual power plant comprehensive benefit evaluation method of claim 1, wherein the method for obtaining the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit comprises:
inputting the unit price of the standard coal and the total amount of the substituted standard coal into a coal saving model to obtain the coal saving benefit; the total substituted standard coal amount is obtained by the annual total running hours of the virtual power plant, the utilization rate of clean energy of the virtual power plant and the electricity-coal conversion coefficient;
inputting the carbon dioxide emission reduction amount and the carbon emission transaction price into a carbon emission reduction model to obtain the carbon emission reduction benefit; the carbon dioxide emission reduction standard coal is obtained by converting a carbon dioxide coefficient and a total replaced standard coal amount;
inputting the sulfur dioxide emission reduction amount and the sulfur dioxide pollution discharge right price into a sulfur emission reduction model to obtain the sulfur emission reduction benefit; the sulfur dioxide reduction amount is obtained by the conversion coefficient of standard coal to sulfur dioxide and the total amount of the replaced standard coal.
7. The virtual power plant composite benefit assessment method according to claim 6,
the coal saving model comprises the following steps:
Figure FDA0003279364150000031
wherein E iscoalFor coal saving efficiency, pcoalIs the standard coal unit price, CcoalFor a total standard coal quantity, T, of substitutionVPPIs the annual total running hours of the virtual power plant, lambda is the utilization rate of clean energy of the virtual power plant,
Figure FDA0003279364150000032
the conversion coefficient of the electricity and the coal is obtained;
the carbon emission reduction model is as follows:
Ecarbon=ΔWcarbon×pcarbon=βc×Ccoal×pcarbon
wherein E iscarbonFor carbon emission benefit,. DELTA.WcarbonFor reduction of carbon dioxide emission, pcarbonTrading price for carbon emissions, betacThe carbon dioxide coefficient is converted into standard coal;
the sulfur emission reduction model is as follows:
Esulfur=ΔWsulfur×psulfur=βs×Ccoal×psulfur
in the formula, EsulfurFor sulfur emission reduction benefit,. DELTA.WsulfurFor sulfur dioxide reduction, psulfurIs the sulfur dioxide emission right price, betasIs converted into dioxygen for standard coalThe coefficient of sulfur sulfide.
8. A virtual power plant composite benefit assessment system, the system comprising:
the first evaluation module is used for obtaining a first evaluation index of the virtual power plant according to the cost of saving the generating capacity, the cost of saving power transmission and distribution and the operation benefit of the virtual power plant;
the second evaluation module is used for obtaining a second evaluation index of the virtual power plant according to the power supply reliability improvement value of the virtual power plant and the land saving cost;
the third evaluation module is used for obtaining a third evaluation index of the virtual power plant according to the coal saving benefit, the carbon emission reduction benefit and the sulfur emission reduction benefit of the virtual power plant;
and the comprehensive evaluation module is used for obtaining the comprehensive benefit of the virtual power plant through the first evaluation index, the second evaluation index and the third evaluation index, and determining the construction scheme of the virtual power plant according to the comprehensive benefit.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program controls the device on which the computer readable storage medium is located to execute the virtual plant integrated benefits assessment method according to any one of claims 1 to 7 when executed.
10. An electrical power terminal comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, when executing the computer program, implementing the virtual plant composite benefit assessment method of any of claims 1 to 7.
CN202111134419.2A 2021-09-26 2021-09-26 Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal Pending CN113988516A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111134419.2A CN113988516A (en) 2021-09-26 2021-09-26 Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111134419.2A CN113988516A (en) 2021-09-26 2021-09-26 Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal

Publications (1)

Publication Number Publication Date
CN113988516A true CN113988516A (en) 2022-01-28

Family

ID=79736862

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111134419.2A Pending CN113988516A (en) 2021-09-26 2021-09-26 Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal

Country Status (1)

Country Link
CN (1) CN113988516A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140140213A1 (en) * 2009-01-28 2014-05-22 Headwater Partners I Llc Service Policy Implementation for an End-User Device Having a Control Application or a Proxy Agent for Routing an Application Traffic Flow
US20140172503A1 (en) * 2012-12-14 2014-06-19 Battelle Memorial Institute Transactive control and coordination framework and associated toolkit functions
US20140225370A1 (en) * 2011-09-28 2014-08-14 Vestas Wind Systems A/S Wind power plant and a method for operating thereof
JP2016032334A (en) * 2014-07-28 2016-03-07 株式会社Nttファシリティーズ Power management device and power management method
CN110472776A (en) * 2019-07-26 2019-11-19 华北电力大学 A kind of virtual plant multiagent cooperation method of commerce based on coordinated operation optimization
KR20200023660A (en) * 2018-08-13 2020-03-06 인천대학교 산학협력단 Electronic device for controlling performance of at least one processor when providing inference service through deep learning model and operating method thereof
CN111415030A (en) * 2019-11-19 2020-07-14 广西电网有限责任公司 Building energy system comprehensive demand response optimization method considering energy utilization comfort level
CN111901211A (en) * 2020-09-29 2020-11-06 深圳传音控股股份有限公司 Control method, apparatus and storage medium
CN113240330A (en) * 2021-06-03 2021-08-10 国网上海市电力公司 Multi-dimensional value evaluation method and scheduling strategy for demand side virtual power plant

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140140213A1 (en) * 2009-01-28 2014-05-22 Headwater Partners I Llc Service Policy Implementation for an End-User Device Having a Control Application or a Proxy Agent for Routing an Application Traffic Flow
US20140225370A1 (en) * 2011-09-28 2014-08-14 Vestas Wind Systems A/S Wind power plant and a method for operating thereof
US20140172503A1 (en) * 2012-12-14 2014-06-19 Battelle Memorial Institute Transactive control and coordination framework and associated toolkit functions
JP2016032334A (en) * 2014-07-28 2016-03-07 株式会社Nttファシリティーズ Power management device and power management method
KR20200023660A (en) * 2018-08-13 2020-03-06 인천대학교 산학협력단 Electronic device for controlling performance of at least one processor when providing inference service through deep learning model and operating method thereof
CN110472776A (en) * 2019-07-26 2019-11-19 华北电力大学 A kind of virtual plant multiagent cooperation method of commerce based on coordinated operation optimization
CN111415030A (en) * 2019-11-19 2020-07-14 广西电网有限责任公司 Building energy system comprehensive demand response optimization method considering energy utilization comfort level
CN111901211A (en) * 2020-09-29 2020-11-06 深圳传音控股股份有限公司 Control method, apparatus and storage medium
CN113240330A (en) * 2021-06-03 2021-08-10 国网上海市电力公司 Multi-dimensional value evaluation method and scheduling strategy for demand side virtual power plant

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
吕梦璇;娄素华;刘建琴;吴耀武;王智冬;: "含高比例风电的虚拟电厂多类型备用协调优化", 中国电机工程学报, no. 10, 23 February 2018 (2018-02-23), pages 57 - 65 *
徐青山;刘梦佳;黄煜;栾开宁;杨斌;: "大规模风电接入下基于随机配置点法的电网再调度方法", 电网技术, no. 11, 15 October 2018 (2018-10-15), pages 118 - 127 *
梁捷;: "计及需求响应和碳排放权的源荷优化调度研究", 能源研究与利用, no. 03, 15 June 2018 (2018-06-15), pages 38 - 40 *
王天旺;高;姜孟;杜涛;: "虚拟电厂下计及分布式风电与储能系统的电力系统优化调度", 电力建设, no. 11, 1 November 2016 (2016-11-01), pages 112 - 118 *
王珂;郭晓蕊;周竞;毛文博;王勇;杨胜春;: "智能电网"源荷"协同调度框架及实现", 电网技术, no. 08, 29 September 2017 (2017-09-29), pages 282 - 289 *
赵鸿图;朱治中;于尔铿;: "电力市场中需求响应市场与需求响应项目研究", 电网技术, no. 05, 5 May 2010 (2010-05-05), pages 152 - 159 *

Similar Documents

Publication Publication Date Title
Oskouei et al. Techno-economic and environmental assessment of the coordinated operation of regional grid-connected energy hubs considering high penetration of wind power
Khalil et al. Hybrid smart grid with sustainable energy efficient resources for smart cities
Welsch et al. Modelling elements of smart grids–enhancing the OSeMOSYS (open source energy modelling system) code
Qiu et al. A linear programming approach to expansion co-planning in gas and electricity markets
Rozali et al. Optimal sizing of hybrid power systems using power pinch analysis
Helseth et al. A model for optimal scheduling of hydro thermal systems including pumped‐storage and wind power
Billinton et al. Unit commitment risk analysis of wind integrated power systems
Wang et al. Optimal planning of stand-alone microgrids incorporating reliability
CN113723718A (en) Energy carbon emission prediction method, device, equipment and medium
Ibanez et al. Multiobjective evolutionary algorithm for long-term planning of the national energy and transportation systems
Nasiri et al. Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems
Raichur et al. Estimating emissions from electricity generation using electricity dispatch models: The importance of system operating constraints
Nagel et al. The economic competitiveness of flexibility options: A model study of the European energy transition
Wang et al. Optimal design of a cooperated energy storage system to balance intermittent renewable energy and fluctuating demands of hydrogen and oxygen in refineries
WO2024046098A1 (en) Planning assistance method for electricity-gas coupled integrated energy system
Pudjianto et al. Whole system value of long-duration electricity storage in systems with high penetration of renewables
Zapata et al. Renewables for supporting supply adequacy in Colombia
Zantye et al. THESEUS: A techno-economic design, integration and downselection framework for energy storage
CN104573852A (en) Life-cycle low-carbon comprehensive benefit evaluation method for wind power generation
US20230289901A1 (en) Operating system and blockchain for energy supply chain
Xu et al. A provincial renewable portfolio standards-based distribution strategy for both power plant and user: A case study from Guangdong, China
Cohen A techno-economic plant-and grid-level assessment of flexible CO2 capture
Chyong et al. Economic modelling of flexible carbon capture and storage in a decarbonised electricity system
CN113988516A (en) Virtual power plant comprehensive benefit evaluation method, system, medium and power terminal
Moradi-Sepahvand et al. Secure expansion of energy storage and transmission lines considering bundling option under renewable penetration

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination