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Indexed by:会议论文

Date of Publication:2017-08-17

Included Journals:EI、CPCI-S

Page Number:408-411

Key Words:hydropower optimal operation; immune algorithm; particle swarm optimization; the Ertan hydropower station

Abstract:Based on the biological mechanism of immune algorithm, an improved immune genetic algorithm is proposed, in which particle swarm optimization is taken as global searching strategy to improve the global search ability of the immune genetic algorithm, and progressive optimization algorithm is used for evolving operation of control strategy to improve its local search ability. At the same time, because of self-regulatory mechanism of immune algorithm based on concentration, group diversity can be improved and algorithm can be avoided to fall into local optimal solution too early.