微电网中扰动观测最大功率点跟踪算法研究

Research on Maximum Power Point Tracking Algorithms for Disturbance Observation in Microgrid

在微电网光伏发电系统中,为解决传统的最大功率点跟踪算法存在跟踪误差较大或跟踪时间过长的问题,研究在基于传统的最大功率点跟踪算法基础上,给出了一种改进算法,即在基于扰动观测算法的基础上,提出了一种变步长扰动观测算法。通过调节系数和功率与电压(P-U)的曲线斜率来确定步长变化大小,有效地抑制了定步长扰动算法中由于步长大小引起的误差问题,实现了对其最大功率点的有效跟踪。通过在Matlab/Simulink环境下对光伏发电最大功率点跟踪系统进行建模与仿真分析,验证了改进算法的有效性和正确性,提高了系统性能。

In the microgrid photovoltaic power generation system,in order to solve the traditional maximum power point tracking algorithm,there is a problem that the tracking error is large or the tracking time is too long.Based on the traditional maximum power point tracking algorithm,an improved algorithm is presented.Based on the traditional maximum power point tracking algorithm,The research presents an improved algorithm.By adjusting the coefficient and the slope of the curve of power and voltage(P-U)to determine the step size change,the error caused by the step size in the fixed-step perturbation algorithm is effectively suppressed,and the effective tracking of its maximum power point is realized.By modeling and simulating the maximum power point tracking system of photovoltaic power generation in Matlab/Simulink environment,the effectiveness and correctness of the improved algorithm are verified and the system performance is improved.