CN107563564A - A kind of efficiency estimation method of wind power plant scheduling process - Google Patents
A kind of efficiency estimation method of wind power plant scheduling process Download PDFInfo
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- CN107563564A CN107563564A CN201710827618.9A CN201710827618A CN107563564A CN 107563564 A CN107563564 A CN 107563564A CN 201710827618 A CN201710827618 A CN 201710827618A CN 107563564 A CN107563564 A CN 107563564A
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/90—Financial instruments for climate change mitigation, e.g. environmental taxes, subsidies or financing
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a kind of efficiency estimation method on wind power plant performance, the data inputting master database of wind power plant operation in 24 hours, then carry out data analysis and reject invalid information extraction effective information, and 24 different wind power curves are made according to the wind power plant data of 24 hours, the measures of effectiveness of wind power plant generating is finally made according to different curves.Measures of effectiveness mainly assesses the security, stability and accuracy of the wind power plant generated output.The energy comprehensive evaluation index of wind power plant is calculated according to comprehensive effectiveness desired value.The master data that wind-powered electricity generation is run is included in database, the measures of effectiveness of wind power plant and separate unit blower fan can be carried out simultaneously, the economic benefit to be generated electricity to wind-powered electricity generation has very high practical value.
Description
Technical field
A kind of efficiency estimation method on wind power plant scheduling process
Technical background
The kinetic energy that wind-power electricity generation refers to keep watch switchs to electric energy.Wind is a kind of energy without public hazards, non-using wind-power electricity generation
Chang Huanbao, and can caused by electric energy it is very huge, therefore increasing country more payes attention to wind-power electricity generation.Wind energy is as one
The regenerative resource of kind cleaning, is increasingly paid attention to by countries in the world.Its amount of accumulateing is huge, and global wind energy is about 2.74 × 10
^9MW, wherein available wind energy is 2 × 10^7MW, the water energy total amount than that can be developed on the earth is also big 10 times.
Wind-powered electricity generation has the characteristics of randomness, intermittence, fluctuation, cut in and out, when it is big when it is small, it is difficult to predict, so wind
The efficiency of electric field electricity-generating, which differs, can be bonded standard completely.The invention is given birth under historical background because of fortune, and wind power plant, which generates electricity, imitates
It is imperative to assess.Measures of effectiveness, it is good to certain things or the quality of a certain item task result of system execution or process to refer to
The quantum chemical methods of efficiency index such as bad, effect size, oneself state or conclusive evaluation, are not only only capable of to wind power plant generating effect
Assessed, at the same also can separate unit fan efficiency tested.
The content of the invention
To solve the shortcomings of the prior art, the invention discloses a kind of measures of effectiveness side of wind power plant scheduling process
Method, the master data that wind-powered electricity generation is run is included in database, the efficiency index of wind power integration is integrated, not only can be to wind-powered electricity generation
Field carries out measures of effectiveness, and the effect of measures of effectiveness can be also reached to separate unit blower fan, obtains the synthesis of economic benefit for covering wind-powered electricity generation
Assessment indicator system, there is very high practical value.
To achieve the above object, concrete scheme of the invention is as follows：
A kind of efficiency estimation method on wind power plant scheduling performance, it is characterized in that, comprise the following steps：
Step 1：The round-the-clock data of wind power plant are gathered, and are classified by the hour；
Step 2：The hour data of wind power plant 24 is analyzed, rejects invalid information, draws 24 wind-power electricity generation power curve, meter
Calculate overshoot σ %, time to peak tp, adjustment time ts, peak value Pmax, the deviation Δ of peak value and setting value, actual general power with
The difference Δ p of preferable general power；
Step 3：Respectively according to security, stability, accuracy, wind power plant scheduling process measures of effectiveness is carried out, is calculated comprehensive
Close efficiency index value.
A kind of efficiency estimation method on wind power plant wind turbine scheduling process, it is characterized in that, comprise the following steps：
Step 1：The round-the-clock data of separate unit are gathered, and are classified by the hour；
Step 2：The hour data of separate unit 24 is analyzed, rejects invalid information.Because the separate unit blower fan all weather operations time differs
It is set to 24 hours, so removing T hour of non-working time, is left hour working time 24-T.Draw 24-T bar wind-power electricity generations
Power curve, calculate overshoot σ %, average peak time tp, adjustment time ts, peak value Pmax, the deviation of peak value and setting value
The difference Δ p of Δ, actual general power and preferable general power；
Step 3：Separate unit fan safe, stability, stability measures of effectiveness are carried out, separate unit is calculated according to efficiency index
Fan comprehensive efficiency index value.
Brief description of the drawings
Fig. 1 is a kind of system construction drawing of efficiency estimation method on wind power plant performance of the present invention.
Fig. 2 wind power plant scheduling process curves and indicatrix
Fig. 3 wind-powered electricity generation separate unit blower fan scheduling process curves and indicatrix
Embodiment
1. a kind of efficiency estimation method on wind power plant scheduling performance, it is characterized in that, comprise the following steps：
Step 1：The round-the-clock data of wind power plant are gathered, and are classified by the hour；
Step 2：The hour data of wind power plant 24 is analyzed, rejects invalid information, draws 24 wind-power electricity generation power curve, meter
Calculate overshoot σ %, time to peak tp, adjustment time ts, peak value Pmax, the deviation Δ of peak value and setting value, actual general power with
The difference Δ p of preferable general power；
Step 3：Respectively according to security, stability, accuracy, wind power plant scheduling process measures of effectiveness is carried out, is calculated comprehensive
Close efficiency index value.
2. a kind of efficiency estimation method on wind power plant performance, for security, stability, accuracy, it is characterized in that：
Establish the grade collection of the following index of measures of effectiveness step：
(1) step 1：Establish the grade collection of effectiveness evaluation index：Using overshoot σ % as first order index set：ω=
{ω1,ω2,ω3...ω24}；By peak value and the deviation Δ second level index set of setting value：Δ={ Δ1,Δ2,Δ3...
Δ24}；
(2) step 2：Establish the weight sets of security effectiveness evaluation index：In order to which each index is for the important of system
Property, it is necessary to establish the corresponding weight of index.The weight vectors for setting up overshoot index set are X1={ x1,1,x1,2,
...x1,24, the weight vectors X of the deviation Δ index set of peak value and setting value2={ x2,1,x2,2,...x2,24}；
(3) step 3：Establish the alternative collection of security effectiveness evaluation index：Evaluation effect is carried out to the system according to expert
Fruit, various evaluation effects constitute alternative collection.Hypothesis evaluation result has s, then alternative collection V1={ v11,v12,...v1s}。
(4) step 4：Establish the single factor judgment matrix of security effectiveness evaluation index：With peak value and the deviation of setting value
It is worth the single factor test index Δ of Δ index set2, jTo determine degree of membership of the system relative to alternative collection unit, to index of different nature
Fuzzy vector should differently be calculated.If single factor test index Δ2j(j=1,2...n) relative to alternative collection V1Middle element
Fuzzy membership vector R2j=(rj1,rj2,...,rjp), wherein ∑ rjk=1, rjk>=0 (j=1,2 ..., n；K=1,2 ...,
p).With the single factor judgment matrix Δ that other single index fuzzy vectors are row construction second level evaluation indice2(n×p)；
(5) step 5：Establish the Comprehensive Evaluation of security effectiveness evaluation index：The weight matrix X of second level index2With list
Factor Judgement Matrix Δ2Product as peak value and the Comprehensive Evaluation result Y of the deviation Δ of setting value2.To Y2It is weighted,
Z=X1×Y2(b11,b12,...b1p) be the system fuzzy comprehensive evoluation；
(6) step 6：According to maximum membership degree rule, by the v of alternative collectionn1(n1For b11,b12,...b1pMiddle maximum
Subscript) comprehensive effectiveness result as the system.
3. a kind of efficiency estimation method on wind power plant wind turbine scheduling process, it is characterized in that, comprise the following steps：
Step 1：The round-the-clock data of separate unit are gathered, and are classified by the hour；
Step 2：The hour data of separate unit 24 is analyzed, rejects invalid information.Because the separate unit blower fan all weather operations time differs
It is set to 24 hours, so removing T hour of non-working time, is left hour working time 24-T.Draw 24-T bar wind-power electricity generations
Power curve, calculate overshoot σ %, average peak time tp, adjustment time ts, peak value Pmax, the deviation of peak value and setting value
The difference Δ p of Δ, actual general power and preferable general power；
Step 3：Separate unit fan safe, stability, stability measures of effectiveness are carried out, separate unit is calculated according to efficiency index
Fan comprehensive efficiency index value.
4. a kind of efficiency estimation method on wind power plant wind turbine scheduling process, it is characterized in that：Establish security, steady
Qualitative, the following index of accuracy measures of effectiveness step grade collection：
(1) step 1：Establish the grade collection of security effectiveness evaluation index：Using overshoot σ % as first order index set：
ω={ ω1,ω2,ω3...ω24-T}；By peak value and the deviation Δ second level index set of setting value：Δ={ Δ1,Δ2,
Δ3...Δ24-T}；
(2) step 2：Establish the weight sets of security effectiveness evaluation index：In order to which each index is for the important of system
Property, it is necessary to establish the corresponding weight of index.The weight vectors for setting up overshoot index set are X1={ X1,1,X1,2,
...X1,(24-T), the weight vectors X of the deviation Δ index set of peak value and setting value2={ X2,1,X2,2,...X2,(24-T)}；
(3) step 3：Establish the alternative collection of security effectiveness evaluation index：Evaluation effect is carried out to the system according to expert
Fruit, various evaluation effects constitute alternative collection.Hypothesis evaluation result has s', then alternative collection V1={ v11,v12,...v1s'}。
(4) step 4：Establish the single factor judgment matrix of security effectiveness evaluation index：With peak value and the deviation of setting value
It is worth the single factor test index Δ of Δ index set2, jTo determine degree of membership of the system relative to alternative collection unit, to index of different nature
Fuzzy vector should differently be calculated.If single factor test index Δ2j(j=1,2...n) relative to alternative collection V1Middle element
Fuzzy membership vector R2j=(rj1,rj2,...,rjp), wherein ∑ rjk=1, rjk>=0 (j=1,2 ..., n；K=1,2 ...,
p).With the single factor judgment matrix Δ that other single index fuzzy vectors are row construction second level evaluation indice2(n×p)；
(5) step 5：Establish the Comprehensive Evaluation of security effectiveness evaluation index：The weight matrix X of second level index2With list
Factor Judgement Matrix Δ2Product as peak value and the Comprehensive Evaluation result Y of the deviation Δ of setting value2.To Y2It is weighted,
Z=X1×Y2(b11,b12,...b1p) be the system fuzzy comprehensive evoluation；
(6) step 6：According to maximum membership degree rule, by the v of alternative collectionn1(n1For b11,b12,...b1pMiddle maximum
Subscript) comprehensive effectiveness result as the system.
Claims (3)
1. it is a kind of on wind power plant and the efficiency estimation method of fan performance, it is characterized in that, comprise the following steps：
Step 1：The round-the-clock data of wind power plant are gathered, and are classified by the hour；
Step 2：The hour data of wind power plant 24 is analyzed, rejects invalid information, draws 24 wind-power electricity generation power curve, is calculated super
Tune amount σ %, time to peak tp, adjustment time ts, peak value Pmax, the deviation Δ of peak value and setting value, actual general power with it is preferable
The difference Δ of general powerp；
Step 3：Carry out wind-power electricity generation security, stability, accuracy measures of effectiveness.
2. it is a kind of on wind power plant and the efficiency estimation method of blower fan, it is characterized in that：Establish security, stability, accuracy effect
The grade collection of the energy following index of appraisal procedure：
(1) step 1：Establish the grade collection of security effectiveness evaluation index：Using overshoot σ % as first order index set：ω=
{ω1,ω2,ω3...ω24}；By peak value and the deviation Δ second level index set of setting value：Δ={ Δ1,Δ2,Δ3...
Δ24}；
(2) step 2：Establish the weight sets of effectiveness evaluation index：For each index for the importance of system, it is necessary to establish
The individual corresponding weight of index.The weight vectors for setting up overshoot index set are X1={ x1,1,x1,2,...x1,24, peak value and setting
The weight vectors X of the deviation Δ index set of value2={ x2,1,x2,2,...x2,24}；
(3) step 3：Establish the alternative collection of effectiveness evaluation index：Evaluation effect, various evaluations are carried out to the system according to expert
Effect constitutes alternative collection.Hypothesis evaluation result has s, then alternative collection V1={ v11,v12,...v1s}。
(4) step 4：Establish the single factor judgment matrix of effectiveness evaluation index：With peak value and the deviation Δ index set of setting value
Single factor test index Δ2, jTo determine degree of membership of the system relative to alternative collection unit, difference should be used to index of different nature
Method calculates fuzzy vector.If single factor test index Δ2j(j=1,2...n) relative to element in alternative collection V fuzzy membership to
Measure R3j=(rj1,rj2,...,rjp), wherein ∑ rjk=1, rjk>=0 (j=1,2 ..., n；K=1,2 ..., p).With other lists
Item index Fuzzy vector constructs the single factor judgment matrix Δ of second level evaluation indice for row2(n×p)；
(5) step 5：Establish the Comprehensive Evaluation of effectiveness evaluation index：The weight matrix X of second level index2With simple element evaluation square
Battle array Δ2Product as peak value and the Comprehensive Evaluation result Y of the deviation Δ of setting value2.To Y2It is weighted, Z=X1×Y2
(b1,b2,...bp) be the system fuzzy comprehensive evoluation；
(6) step 6：According to maximum membership degree rule, by the v of alternative collectionn(n b1,b2,...bpThe subscript of middle maximum) conduct
The comprehensive effectiveness result of the system.
3. from the security of wind power plant scheduling process, stability, the angle of accuracy, different angle measures of effectiveness is carried out.By wind
The measures of effectiveness of electricity scheduling navigates to fan operation, and Operating ettectiveness is analyzed so as to different scale.
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Cited By (5)
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| CN108596474A (en) * | 2018-04-23 | 2018-09-28 | 国网经济技术研究院有限公司 | Power grid engineering operation benefit evaluation method and system capable of meeting power consumption requirements |
| CN108960688A (en) * | 2018-08-30 | 2018-12-07 | 北京光耀电力科技股份有限公司 | A kind of total management system of Wind turbines |
| CN110006624A (en) * | 2019-05-23 | 2019-07-12 | 重庆大学 | The physical simulating method that Background wind is coupled with mobile cyclone |
| CN110378555A (en) * | 2019-06-11 | 2019-10-25 | 重庆大学 | One kind being directed to wind power plant power dispatching process efficiency estimation method |
| CN116433073A (en) * | 2023-02-23 | 2023-07-14 | 华北电力大学 | Wind power plant operation efficiency evaluation method, device, equipment and medium |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596474A (en) * | 2018-04-23 | 2018-09-28 | 国网经济技术研究院有限公司 | Power grid engineering operation benefit evaluation method and system capable of meeting power consumption requirements |
| CN108960688A (en) * | 2018-08-30 | 2018-12-07 | 北京光耀电力科技股份有限公司 | A kind of total management system of Wind turbines |
| CN110006624A (en) * | 2019-05-23 | 2019-07-12 | 重庆大学 | The physical simulating method that Background wind is coupled with mobile cyclone |
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| CN110378555A (en) * | 2019-06-11 | 2019-10-25 | 重庆大学 | One kind being directed to wind power plant power dispatching process efficiency estimation method |
| CN116433073A (en) * | 2023-02-23 | 2023-07-14 | 华北电力大学 | Wind power plant operation efficiency evaluation method, device, equipment and medium |
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Application publication date: 20180109 |