电测与仪表2017，Vol.54Issue(23)：35-40,6.
基于多种群遗传算法的波浪发电最大功率跟踪控制
Maximum power point tracking control based on multiple population genetic algorithms for wave generation system
摘要
Abstract
All individual of the population tends to the same state quickly and stop evolution in genetic algorithm (GA),therefore,GA has difficulty in discovering the optimum solution in the maximum power point tracking (MPPT) of the wave generation system.A novel multiple population genetic algorithm (MPGA) was proposed to solve the problem of the traditional GA.MPGA is introduced to search simultaneously at the beginning.Different MPGAs were given different crossover probabilities and mutation probabilities so that the novel algorithm can balance global search and local search.At the same time,immigration operator was added to maintain the connection between population and artificial selection operator was used to establish quintessence population.The criterion for the convergence of the algorithm was based on the quintessence population.The simulation results show that this algorithm can improve the capture rate of wave energy of the wave generation system.关键词
波浪发电/最大功率点跟踪/遗传算法/多种群遗传算法Key words
wave generation/maximum power point tracking/genetic algorithm (GA)/multiple population genetic algorithm (MPGA)分类
信息技术与安全科学引用本文复制引用
邹子君,杨俊华,杨金明..基于多种群遗传算法的波浪发电最大功率跟踪控制[J].电测与仪表,2017,54(23):35-40,6.基金项目
国家自然科学基金资助项目(513770265) （513770265）
广东省科技计划项目(2016B090912006) （2016B090912006）
广东省自然科学基金项目(2015A030313487) （2015A030313487）
广东省教育部产学研合作专项资金(2013B090500089) （2013B090500089）
