基于FOA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 FOA

作　　者：杜炜 韩伟[2] 陈凌[2] 谈友飞 

机构地区：[1]南京南瑞太阳能科技有限公司,江苏南京211106 [2]河海大学能源与电气学院,江苏南京211100

出　　处：《电源技术》2015年第10期2193-2195,2221,共4页Chinese Journal of Power Sources

基　　金：江苏省研究生培养创新工程(CXZZ12_0228);江苏省科技支撑项目(BE2012015)

摘　　要：在光伏发电系统中需要对光伏阵列的最大功率点进行跟踪控制以提高整体系统的输出功率。以光伏阵列输出非线性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,针对其最大功率点跟踪(MPPT)动态和稳态性能不佳等问题,提出了将果蝇优化算法(FOA)应用于光伏发电系统中。在Matlab/Simulink下进行了建模和仿真,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,表现出良好的动态和稳态特性,同时也证实了算法的正确性和有效性。In order to increase the output power of the photovoltaic system, the maximum power point tracking was needed. As the starting point of research in the output nonlinear characteristics, based on the analysis of the advantages and disadvantages of the conventional algorithm, and aiming at the poor dynamic and steady-state performance of the maximum power point tracking（MPPT）, the fly optimization algorithm（FOA） was applied to the photovoltaic power generation system. Modeling and simulation in MATLAB/Simulink, the results indicate that the method can quickly and accurately track the maximum power point of photovoltaic cells and prevent the occurrence of the algorithm to track the direction of misjudgment of the situation, and show good dynamic and steady state characteristics, also confirm the correctness and validity of the algorithm.

关 键 词：果蝇优化算法 光伏发电 最大功率点跟踪 适应度函数 

分 类 号：TM615[电气工程—电力系统及自动化]