摘要
针对光伏阵列的输出特性具有非线性、时变性和多峰性等特点,提出一种基于自适应变异的粒子群优化(AMPSO)闭环控制方法,并将其应用于光伏阵列多峰情况下的最大功率点跟踪。该方法的优点为:采用AMPSO算法来预测最大功率点电压,可克服粒子群算法(PSO)存在的早熟收敛问题;采用电压闭环控制来跟踪最大功率点电压,可实现阵列输出电压的准确控制。仿真和实验结果表明该方法可快速跟踪外部环境变化,准确搜索到最大功率点,有效提高光伏系统的效率。
The PV array possess the characteristics of nonlinear, time-varying and multiple-peaks, when they are under partially shaded conditions. Based on this, a new adaptive mutation particle swarm optimization （AMPSO）closed-loop control algorithm is presented and applied in maximum power point tracking. The proposed novel method has two advantages： to exactly predict the maximum power point （MPP）voltage by using the method of AMPSO algorithm and to improve the ability of voltage control by tracking the MPP voltage under the control of the voltage closed-loop. In this research, simulations and experiments demonstrated that the proposed method can track the global maxima accurately, when external environment suddenly changed, and improve the efficiency of the PV system effectively.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2016年第1期56-62,共7页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(61271143)
中央高校基本科研业务费资助项目(2013G1321036)
关键词
光伏阵列
最大功率点跟踪
自适应变异粒子群算法
闭环控制
photovoltaic array
maximum power point tracking （MPPT）
adaptive mutation particle swarm optimization （AMPSO）
closed-loop control
