改进粒子群算法在光伏阵列多峰值MPPT中的应用  

Application of improved particle swarm algorithm in photovoltaic array multi peak in MPPT

作　　者：娄贺伟 李光林[1] 蔡鹏宇[1] 李凯[1] 

机构地区：[1]辽宁工业大学电子与信息工程学院,辽宁锦州121001

出　　处：《自动化与仪器仪表》2015年第3期193-195,共3页Automation & Instrumentation

摘　　要：在局部遮荫下,光伏阵列的P-U特性曲线存在多个极值点,常规最大功率跟踪(MPPT)算法在光伏阵列多峰值MPPT应用中将失效。粒子群算法(PSO)有良好的全局搜索能力,被应用于光伏阵列多峰值MPPT,但是PSO存在收敛精度低和收敛不稳定性的缺点。为了提高PSO算法的收敛稳定性和收敛精度,引入非线性策略对PSO算法进行改进,Matlab仿真结果表明,改进的粒子群算法在多峰值MPPT应用中可以稳定、准确的跟踪光伏阵列的最大输出功率。The P-U characteristic curve of PV arrays will have multi-peakmulti-peak multi-peak multi-peak multi-peak multi-peak when it is partially shaded, which will make the conventional maximum power point tracking（MPPT） failed. Particle swarm optimization（PSO） is used in Global MPPT for PV Array because it has good global optimization ability, but it has shortcomings in convergence accuracy convergence accuracysearching accuracy and instability. In order to solve these problems, the nonlinear control strategy is introduced to improve PSO, The simulation results of Matlab show that the improved PSO has better convergence stability and convergence accuracy convergence accuracysearching accuracy.

关 键 词：局部遮荫 最大功率跟踪 粒子群算法 非线性策略 

分 类 号：TN2[电子电信—物理电子学]