基于改进型混沌遗传算法的分布式光伏储能输出最大功率点追踪方法  

Maximum power point tracking method for distributed photovoltaic energy storage output based on improved chaotic genetic algorithm

作　　者：李萍 LI Ping(College of Electrical and Information Engineering,Heilongjiang Institute of Technology,Harbin 150001,China)

机构地区：[1]黑龙江工程学院电气与信息工程学院,黑龙江哈尔滨150001

出　　处：《微电子学与计算机》2024年第2期37-43,共7页Microelectronics & Computer

摘　　要：针对当前分布式光伏储能输出最大功率点追踪过程受多峰特性影响而导致追踪效果不佳的情况,提出了基于改进型混沌遗传算法的分布式光伏储能输出最大功率点追踪方法。该方法首先通过构建光伏储能电池等效模型及分析光伏储能电池特性基础上,将时间、光照强度和环境温度作为输入,建立基于径向基函数(Radial Basis Function,RBF)神经网络的分布式光伏储能最大功率点追踪模型。其次,在遗传算法中引入混沌因子,形成改进型混沌遗传算法。经过参数设置、种群初始化、添加混沌因子以及交叉和变异等操作后,利用该算法求解基于RBF神经网络的分布式光伏储能最大功率点追踪模型。最后,利用该模型输出分布式光伏储能输出最大功率点追踪结果。实验结果表明:该方法追踪分布式光伏储能输出最大功率点时,具备较好的收敛性和逼近性;可在不同环境温度和光照强度情况下,有效追踪布式光伏储能输出最大功率点,应用效果较为显著。In view of the fact that the current maximum power point tracking process of distributed photovoltaic energy storage output is affected by multi peak characteristics and the tracking effect is poor,a maximum power point tracking method of distributed photovoltaic energy storage output based on improved chaotic genetic algorithm is proposed.In this method,the maximum power point tracking model of distributed photovoltaic energy storage based on Radial Basis Function(RBF)neural network is established by building an equivalent model of photovoltaic energy storage cells,analyzing the characteristics of photovoltaic energy storage cells,and taking time,light intensity and ambient temperature as inputs.Chaotic factors are introduced into the genetic algorithm to form an improved chaotic genetic algorithm.After parameter setting,population initialization,adding chaotic factors,crossover and mutation,the algorithm is used to solve the maximum power point tracking model of distributed photovoltaic energy storage based on RBF neural network,and the model is used to output the maximum power point tracking results of distributed photovoltaic energy storage output.The experimental results show that the method has good convergence and approximation when tracking the maximum power point of distributed photovoltaic energy storage output.It can effectively track the maximum power point of photovoltaic energy storage output under different ambient temperatures and light intensities,and the application effect is significant.

关 键 词：混沌遗传算法 分布式 光伏储能 最大功率点 追踪方法 网络模型 

分 类 号：TM615[电气工程—电力系统及自动化]