Proportional study of Perturb & Observe and Fuzzy Logic Control MPPT Algorithm for a PV system under different weather conditions

M. Nkambule, Ali N. Hasan, Ahmed Ali
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引用次数: 5

Abstract

Photovoltaic (PV) system are highly affected by varying of insolation and temperature condition. Since a PV cell characteristic is a non-linear, P-V curve of a PV system shows multiple power peaks under partial shading conditions (PSC). Therefore, it is necessary to track the global maximum power to avoid the PV system operating in local peak power that result in a power loss. This paper presents the proportional study and evaluation of two maximum power point tracking (MPPT) algorithms, namely Perturb & Observe (P& O) and Fuzzy Logic Control (FLC). The MATLAB SIMULINK software is used to validate and prove the performance of the two MPPT techniques.
不同天气条件下光伏系统扰动观测比例研究及模糊逻辑控制算法
光伏系统受日照和温度条件的影响较大。由于光伏电池的特性是非线性的,PV系统的P-V曲线在部分遮阳条件下(PSC)显示多个功率峰值。因此,有必要对全局最大功率进行跟踪,以避免光伏系统运行在局部峰值功率下造成功率损耗。本文对两种最大功率点跟踪(MPPT)算法,即摄动与观察(p&o)算法和模糊逻辑控制(FLC)算法进行了比例研究和评价。利用MATLAB SIMULINK软件对两种MPPT技术的性能进行了验证和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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