Transient Search Optimization Based Fuzzy-PI Controller for MPPT of Standalone PV System

2022 23rd International Middle East Power Systems Conference (MEPCON) Pub Date : 2022-12-13 DOI:10.1109/MEPCON55441.2022.10021781

Ghazi A. Ghazi, E. Al-Ammar, H. Hasanien, Rania A. Turky

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Abstract

In standalone or grid-connected PV systems, maximum power point tracking (MPPT) methods are essential since they control DC boost converter's duty cycles, thereby extracts the maximum power possible from such systems. Moreover, the power supplied by the PV array is a nonlinear function of its terminal voltage and current, which require a successful MPPT to pursue the maximum power point (MPP) regardless of operating conditions. This paper suggests a Transient Search Optimization (TSO) based on self-tuning fuzzy-Proportional Integral (PI) controller for MPP pursuing in the standalone PV system. The PI regulator is utilized to regulate to the PV voltage in relation to a reference voltage generated by TSO method in which its gain parameters are tuned using a fuzzy expert system. The simulation was done using MATLAB/SIMULINK for standard and different test conditions (STC and DTC). The obtained results reveal that the maximum power delivered to the load has been achieved with an efficiency of 100% at STC, while it was achieved concerning variable irradiation at DTC

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基于暂态搜索优化的独立光伏系统最大功率点跟踪模糊pi控制器

在独立或并网光伏系统中，最大功率点跟踪(MPPT)方法是必不可少的，因为它们控制直流升压变换器的占空比，从而从此类系统中提取最大功率。此外，光伏阵列提供的功率是其终端电压和电流的非线性函数，这就要求成功的MPPT无论在何种工况下都要追求最大功率点(MPP)。提出了一种基于自整定模糊比例积分(PI)控制器的暂态搜索优化(TSO)方法，用于单机光伏系统的MPP寻优。PI调节器被用来调节PV电压与由TSO方法产生的参考电压的关系，其中其增益参数使用模糊专家系统进行调整。采用MATLAB/SIMULINK对标准和不同测试条件(STC和DTC)进行了仿真。结果表明，在STC和DTC的可变辐照下，负载的最大功率传输效率均达到100%

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2022 23rd International Middle East Power Systems Conference (MEPCON)

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