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Fast synthetic genetic algorithm and its application to optimal control of reactive power flow

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3 Author(s)
Meng Xianping ; Dept. of Autom. Control, Northeastern Univ., Shenyang, China ; Liang Zhishan ; Zhang Huaguang

In order to solve slow convergence speed, premature convergence and large population and individual number of genetic algorithms, this paper proposes a fast synthetic genetic algorithm, and applies the algorithm to optimal control of reactive power flow. The effectiveness of the algorithm is verified by simulating the IEEE-30 bus system and a test electric power system and comparing with the optimal load flow method and simple genetic algorithm, the results demonstrate that the algorithm is more effective

Published in:

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on  (Volume:2 )

Date of Conference:

18-21 Aug 1998