摘要
针对传统光伏电池阵列控制方式在复杂天气环境下,对最大功率点跟踪效果不理想的现象。设计了一种基于GA-BPNN的改进型恒压光伏MPPT控制算法,并通过搭建基于GA-BPNN的改进型恒压光伏MPPT的仿真模型,再与传统P&O控制方法进行比较分析。仿真结果证明,该算法能准确快速地在复杂天气环境下进行最大功率点跟踪,且性能稳定。
This paper introduces a modified constant pressure PV MPPT control algorithm based on GA-BPNN for better power point tracking effect than traditional control method under complex weather conditions. The simulation model of a modified constant pressure PV MPPT control algorithm based on GA-BPNN is constructed and compared with the P＆O control method. The result shows that the algorithm can track maximum power point accurately and quickly with better stability and higher precision.
出处
《电子科技》
2016年第8期145-148,共4页
Electronic Science and Technology
基金
沪江基金资助项目(B1402/D1402)
关键词
光伏电池阵列
BP神经网络
遗传算法
干扰观测法
photovohaic array
BP neural network
genetic algorithm
disturbance observation method
