Bhaskar et al., 2018 - Google Patents

A comparative performance analysis of automatic generation control of multi-area power system using PID, fuzzy and ANFIS controllers

Bhaskar et al., 2018

Document ID
5365649106814065718
Author
Bhaskar M
Pal N
Yadav V
Publication year
Publication venue
2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

External Links

Snippet

Automatic generation control (AGC) of four-area interlinked power system with generation rate constraints (GRC) is presented in this paper. The four-area interconnected power system having two areas with steam turbines and other areas are nuclear and hydro turbine …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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 GASES [GHG] EMISSION, 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
    • 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 GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H02J3/382—Dispersed generators the generators exploiting renewable energy
    • H02J3/386—Wind energy
    • 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 GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76—Computer aided design [CAD]; Simulation; Modelling
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric

Similar Documents

Publication Publication Date Title
Huang et al. Adaptive droop-based hierarchical optimal voltage control scheme for VSC-HVdc connected offshore wind farm
Navarrete et al. Expert control systems implemented in a pitch control of wind turbine: A review
Kumar et al. Recent philosophies of automatic generation control strategies in power systems
Zhang et al. Distributed model predictive load frequency control of multi-area power system with DFIGs
Xi et al. Wolf pack hunting strategy for automatic generation control of an islanding smart distribution network
Hosseini et al. Improving response of wind turbines by pitch angle controller based on gain-scheduled recurrent ANFIS type 2 with passive reinforcement learning
Rached et al. Fuzzy logic control for wind energy conversion system based on DFIG
Bernard et al. Ant-based optimal tuning of PID controllers for load frequency control in power systems
Bhaskar et al. A comparative performance analysis of automatic generation control of multi-area power system using PID, fuzzy and ANFIS controllers
Tamaarat Active and reactive power control for DFIG using PI, fuzzy logic and self-tuning PI fuzzy controllers
Ramya et al. Optimization of synchronous generator excitation controller parameters
Shayeghi et al. An online Q-learning based multi-agent LFC for a multi-area multi-source power system including distributed energy resources
Jaikhang et al. Artificial intelligent tuning pi controller on wind turbine system with three-phase grid connected system
Sharma et al. Automatic generation control of multi area power system using ANN controller
Sekhar et al. Two-degree-of-freedom tilt integral derivative controller-based firefly optimisation for automatic generation control of restructured power system
Tao Research on Optimization Control Strategy Using Model Predictive Control of Wind Turbine Generators
Mishra et al. A modified differential evolution algorithm for frequency management of interconnected hybrid renewable system
Roshandel et al. A Control Strategy for DFIG wind turbine using SLS-TLBO and fuzzy logic
Feng et al. Automatic Generation Control of Isolated Two-area Microgrid with Multiple Resources Based on Learning Optimization
Maurya et al. Structure of PID Controller and Its Performance in Multi-Area Power System Network
Qudaih et al. Microgrid design including fuzzy logic controlled storage system
Lalhmachhuana et al. Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms
Ray et al. Automated frequency control using fuzzy-sliding mode in wind-thermal-hydro hybrid system
Babu et al. Control of Buck Converter by Fuzzy Controller for Wind Energy: Battery System
Payal et al. Load Frequency Control of Wind Integrated Power System Using Intelligent Control Techniques