Multiple-objective reactive power optimization based on improved genetic algorithm

Power System Technology

Volumn 28, Issue 11, 2004, Pages 67-71

  Zhang, Wu Jun ^a   Ye, Jian Feng ^a   Liang, Wei Jie ^a   Fang, Ge Fei ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Genetic algorithm; Penalty coefficient; Power system; Reactive power optimization; Voltage stability

Indexed keywords

ANNEALING; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; OPTIMIZATION; VOLTAGE MEASUREMENT;

PENALTY COEFFICIENT; POWER SYSTEM; REACTIVE POWER OPTIMIZATION; VOLTAGE STABILITY;

REACTIVE POWER;

EID: 3242774623     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Ma Jintao, LAI L L, Yang Yihan. Application of genetic algorithm in reactive power optimization[J]. Proceedings of the CSEE, 1995, 15(5): 347-353.
2. Dai Wenxia, Wu jie. A modified genetic algorithm with annealing selection for reactive power optimization[J]. Power System Technology, 2001, 25(11): 33-36.
3. Wang Qin, Fang Gefei. Multi-objective reactive power optimization considering voltage stability [J] Automation of Electric Power Systems, 1999, 23(3): 31-34.
4. Li Yanan, Zhang Lizi, Shu Jun et al. Reactive power optimization based on improved genetic algorithm[J]. Electric Power, 2001, 34(6): 46-48.