DocumentCode :
2114746
Title :
Application of genetic algorithms to multiple load flow solution problem in electrical power systems
Author :
Yin, Xiaodong
Author_Institution :
Lab. d´´Electrotech. et d´´Instrum., Katholieke Univ., Leuven, Belgium
fYear :
1993
fDate :
15-17 Dec 1993
Firstpage :
3734
Abstract :
A new approach based on genetic algorithms to find multiple load flow solutions is presented in this paper. Genetic algorithms (GAs) are search procedures based on the mechanics of natural genetics and natural selection. A genetic algorithm with sharing scheme is proposed and applied to simultaneously find multiple load flow solutions. Numerical experiments on two example systems show that the proposed algorithm can be used as an efficient guide for simultaneously and globally searching multiple solution regions
Keywords :
genetic algorithms; load flow; electrical power systems; genetic algorithms; multiple load flow solution problem; search procedures; Genetic algorithms; Load flow; Network topology; Newton method; Nonlinear equations; Power system interconnection; Power systems; Power transmission; Stability; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
Type :
conf
DOI :
10.1109/CDC.1993.325915
Filename :
325915
Link To Document :
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