摘要
在局部阴影的情况下,光伏阵列的P-U曲线会存在多个峰值点,传统的最大功率跟踪方法在此时会失效。提出基于自适应权重的粒子群算法,基于粒子群算法的全局寻优特性,对局部阴影下的光伏阵列多峰P-U曲线进行寻优,搜寻到最大功率点处对应的电压即为最优输出电压;结合电压闭环调节和Boost电路搭建光伏系统仿真模型,模拟最大功率输出;与传统扰动观察法进行比较并通过Matlab/Simulink进行仿真。
In the case of partial shadow,there will be multiple peak points in the P-U curve of the photovoltaic（PV）array,and the conventional maximum power tracking method will fail.This paper proposes a particle swarm optimization algorithm based on adaptive weight.Based on the global optimization characteristics of particle swarm optimization,the multi-peak P-Ucurve of PV array is optimized under local shadow,and the voltage corresponding to the maximum power point is the best output voltage.Combined with voltage closed-loop regulation and Boost circuit,this paper constructs the photovoltaic system simulation model to simulate the maximum power output,which is compared with traditional perturbation and observation method and simulated in Matlab/Simulink.
作者
张异殊
王晓文
ZHANG Yishu;WANG Xiaowen(School of Electric Power, Shenyang Institute of Engineering, Shenyang 110136, Liaoning Province, China)
出处
《分布式能源》
2018年第1期34-38,共5页
Distributed Energy
