Title :
Reactive power control by genetic algorithm
Author :
Aoki, Hidenori ; Mizutani, Yoshibumi
Author_Institution :
Dept. of Electr. Eng., Tokai Univ., Kanagawa, Japan
Abstract :
This paper presents a new approach to optimal voltage and reactive power control based on a genetic algorithm (GA), and attempts to shorten the time by use of the GA which calculates the control procedure. For this purpose, a network is decomposed into subsystems by means of region/area information, and the control times of the controller are considered in the voltage and reactive power control. Therefore, two methods are proposed in the algorithm of GA. The effectiveness is demonstrated by a practical 118-bus system
Keywords :
control system analysis computing; control system synthesis; genetic algorithms; optimal control; power system analysis computing; power system control; reactive power control; voltage control; computer simulation; control design; control procedure; control simulation; genetic algorithm; power systems; reactive power control; voltage control; Centralized control; Equations; Genetic algorithms; Load flow; Optimal control; Photovoltaic systems; Power generation; Power system interconnection; Reactive power control; Voltage control;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850169
