DocumentCode :
1705566
Title :
Research on Reactive Power Optimization based on Adaptive Genetic Simulated Annealing Algorithm
Author :
Liu, Keyan ; Sheng, Wanxing ; Li, Yunhua
Author_Institution :
Beihang Univ., Beijing
fYear :
2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes the integration of simulated annealing into an adaptive genetic algorithm in order to solve reactive power optimization problems. The idea of using a genetic algorithm as global search strategy while simulated annealing is used local improvements, helps to improve the optimization if done appropriately. The decimal encoding and decoding are used. The flow chart of proposed algorithm is presented and the parameter of the proposed hybrid algorithm is illustrated. The steps of algorithm procedure are designed. Two systems of IEEE 14-bus and IEEE 30-bus are tested. The results show that the proposed algorithm in the paper is more feasible and effective.
Keywords :
genetic algorithms; load dispatching; reactive power; IEEE 14-bus system; IEEE 30-bus system; RPOD; adaptive genetic simulated annealing algorithm; decoding; encoding; reactive power optimization dispatch; Encoding; Genetic algorithms; Hybrid power systems; Optimization methods; Power system modeling; Power system security; Power system simulation; Reactive power; Simulated annealing; System testing; Adaptive genetic algorithm; Decimal integer encoding; Genetic algorithm; Reactive power optimization; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
Type :
conf
DOI :
10.1109/ICPST.2006.321627
Filename :
4116141
Link To Document :
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