针对当光伏板处于不均匀的太阳光照射时,产生发电效率低的问题,提出一种混沌哈里斯鹰算法与电导增量法结合的算法.哈里斯鹰算法引入Levy飞行函数和Henon混沌映射,在跟踪早期,扩大算法的搜索范围.再引入最优个体策略,可进一步减少算法的迭代次数.该算法使系统更易跳出局部最大功率点,而在跟踪后期,算法精确运行在小范围内,提高了局部搜索能力.实验结果表明,电导增量法的加入缓解了系统位于全局最大功率点(GMPP:Global Maximum Power Point)附近时的功率振荡,稳定输出.
Maximum Power Tracking Based on Chaotic Harris Hawk Algorithm
When photovoltaic panels are under uneven solar irradiation,the problem of low power generation efficiency arises.In order to solve the problem a chaotic Harris hawk algorithm combined with the conductivity increment method is proposed.The Harris Hawk algorithm introduces Levy flight function and Henon chaotic mapping to expand the search range of the algorithm in the early stage of tracking.Then the optimal individual strategy is introduced,which can further reduce the number of iterations of the algorithm.The algorithm makes it easier for the system to jump out of the local maximum power point,while in the late stage of tracking,the algorithm runs precisely in a small range,improving the local exploitation capability.The use of the conductance increment method alleviates the power oscillations when the system is located near the GMPP(Global Maximum Power Point)and stabilizes the output.
henon chaotic mappingchaotic harris hawk algorithmlevy flightincremental conductivity methodglobal maximum power point(GMPP)
国家科技期刊平台
NSTL
万方数据
