基于改进萤火虫算法的光伏最大功率点跟踪

Photovoltaic Maximum Power Point Tracking Based on Improved Firefly Algorithm

光伏电池的最大功率点跟踪是实现光伏系统高效发电的关键技术.分析光伏阵列的输出特性,提出一种改进的萤火虫算法(IFA).将混沌理论与正态分布引入传统萤火虫算法(FA),提高全局搜索范围并避免陷入局部最优;在MATLAB中搭建模型进行仿真.结果表明:该改进算法在均匀光照、局部遮阴和温度突变时均能快速精准地实现对全局最大功率点的跟踪和控制,提高了光伏阵列的发电效率.

The maximum power point tracking(MPPT)technology of photovoltaic cells is the key to realize efficient generation of photovoltaic system.Based on the analysis of the output characteristics of photovoltaic array,an improved firefly algorithm(IFA)is proposed.Chaos theory and normal distribution are introduced into the traditional firefly algorithm(FA)to improve the global search range and avoid falling into local optimum.A model is built in MATLAB for simulation.The results show that the improved algorithm can quickly and accurately track and control the global maximum power point under uniform illumination,local shading and temperature mutation,and improve the power generation efficiency of photovoltaic array.