Genetic algorithm optimization for AGC of multi-area power systems

A genetic algorithm (GA) for parameter optimization of PID sliding mode load frequency control used in automatic generating control (AGC) of multiarea power systems with nonlinear elements has been proposed. The method has the advantages of both PID and sliding mode control. Instead of using a tradi...

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Main Authors: Li Pingkang, Zhu Hengjun, Li Yuyun
Format: Conference Proceeding
Language:English
Subjects:
Frequency control
Genetic algorithms
MATLAB
Power system analysis computing
Power system interconnection
Power system modeling
Power system simulation
Power systems
Sliding mode control
Three-term control
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Zhu Hengjun
Li Yuyun
description A genetic algorithm (GA) for parameter optimization of PID sliding mode load frequency control used in automatic generating control (AGC) of multiarea power systems with nonlinear elements has been proposed. The method has the advantages of both PID and sliding mode control. Instead of using a traditional analysis algorithm to obtain the controller parameters, GA optimization technology is introduced. PID parameter optimization for the interconnection of the AGC loops using MATLAB/Simulink model is developed. A real coded genetic algorithm is adopted and integrated into MATLAB/Simulink. The simulation of a two-area power system with PI and PID controllers is reported and the results are reasonable.
doi_str_mv 10.1109/TENCON.2002.1182689
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ispartof 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings, 2002, Vol.3, p.1818-1821 vol.3
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Frequency control
Genetic algorithms
MATLAB
Power system analysis computing
Power system interconnection
Power system modeling
Power system simulation
Power systems
Sliding mode control
Three-term control
title Genetic algorithm optimization for AGC of multi-area power systems
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