大连理工大学学报2012，Vol.52Issue(4)：575-581,7.
基于改进免疫遗传算法的水电站优化调度应用研究
Research on application of optimal operation of hydropower station based on improved immune genetic algorithm
摘要
Abstract
Based on the biological mechanism of immune algorithm, an improved immune geneuc 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. The specific realization process of the algorithm is presented, as well as the algorithm is applied to optimal operation of a hydropower station, which indicates that the results are satisfied, including the effectiveness and superiority compared with dynamic programming, genetic algorithm, immune algorithm and particle swarm optimization.关键词
水电站/免疫遗传算法/改进免疫遗传算法/优化调度Key words
hydropower station/immune genetic algorithm/improved immune genetic algorithm/optimal operation分类
建筑与水利引用本文复制引用
彭安帮,彭勇,何斌,周惠成..基于改进免疫遗传算法的水电站优化调度应用研究[J].大连理工大学学报,2012,52(4):575-581,7.基金项目
国家自然科学基金资助项目 （）
水利部公益性行业专项资助项目 （）
教育部博士学科点专项科研基金资助项目（20100041120004）. （）
