基于CSA-FPI算法的光伏发电MPPT仿真研究  

Simulation study of photovoltaic power generation in maximum power point tracking based on CSA-FPI algorithm

作　　者：陈凌[1] 王宏华[1] 韩伟[1] 

机构地区：[1]河海大学能源与电气学院,南京211100

出　　处：《电测与仪表》2015年第8期39-44,共6页Electrical Measurement & Instrumentation

基　　金：国网江苏省电力公司科技项目(J2014028)

摘　　要：对光伏阵列进行最大功率点跟踪控制(Maximum Power Point Tracking,简称MPPT),是提高光伏发电系统输出功率的有效措施之一。文章以光伏阵列非线性输出特性为切入点展开研究,在分析了常规算法的优缺点基础上,针对其在最大功率点处(MPP)动态和稳态性能不佳等问题,提出了一种基于布谷鸟搜索算法(CSA)和模糊PI(FPI)控制相结合的光伏阵列MPPT算法。在MATLAB/Simulink下进行了仿真建模,仿真结果表明该方法能够迅速准确地跟踪光伏阵列的最大功率点,防止算法跟踪方向误判情况的发生,具有快速跟踪性和鲁棒性;同时实验结果也证实了上述算法的正确性和有效性。One of the most effective measures to increase the output power of photovohaic （PV） array is implementing the maximum power point tracking （MPPT）. Taking the research of non-linear characteristics of PV and the analysis of merits and defects of conventional algorithms as the starting point, a new MPPT method based on cuckoo search al- gorithm （CSA） and fuzzy PI （FPI） control- for PV array is proposed to have good dynamic and static performance at the maximum power point （MPP） in this paper. A simulation model is established in the environment of MATLAB/ Simulink. The simulation results show that the proposed method can quickly track the MPP of PV array and prevent the occurrence of the algorithm to track into the misjudging direction. Meanwhile, this method has rapidly tracking and strong robustness, also its correctness and validity are confirmed by the experimental results.

关 键 词：光伏阵列 最大功率点跟踪 布谷鸟搜索算法 模糊PI控制 

分 类 号：TM914[电气工程—电力电子与电力传动]