Performance of Different MPPT Control Techniques for Photovoltaic Systems

2018 International Conference on Electrical Engineering (ICEE) Pub Date : 2018-02-01 DOI:10.1109/ICEE.2018.8566713

S. Z. Hassan, Hui Li, T. Kamal, Jawad Ahmad, M. H. Riaz, M. A. Khan

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引用次数: 5

Abstract

Photovoltaic (PV) energy being clean and inexhaustible is an important renewable energy source. For the efficient utilization of output energy of PV arrays, it is essential to operate PV systems in the Maximum Power Point (MPP). In contrast, the nonlinear behavior of PV systems, maximum power point variations with temperature and solar irradiance level make its tracking complicated. Since, there are various MPPT approaches proposed in the literature. This work presents a comparative study among three Maximum Power Point Tracking (MPPT) algorithms which are Proportional Integral Derivative (PID)-based incremental conductance, PID-based perturb and observe and Fuzzy Logic Controller (FLC) based modeling of PV systems. The controllers were stimulated using MATLAB/Simulink under various weather and load conditions in terms of efficiency, power quality and MPP error. The results of simulation show that the MPPT technique based on FLC is more efficient in comparison to other techniques, giving a fruitful energy conversion efficiency of 97.02%.

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光伏系统不同MPPT控制技术的性能研究

光伏能源清洁、取之不尽、用之不竭，是一种重要的可再生能源。为了有效地利用光伏阵列的输出能量，光伏系统在最大功率点运行是至关重要的。相反，光伏系统的非线性特性，最大功率点随温度和太阳辐照度的变化使其跟踪变得复杂。因此，文献中提出了各种各样的MPPT方法。本文对基于比例积分导数(PID)的增量电导、基于PID的摄动和观测以及基于模糊逻辑控制器(FLC)的光伏系统建模三种最大功率点跟踪(MPPT)算法进行了比较研究。利用MATLAB/Simulink对控制器在不同天气和负载条件下的效率、电能质量和MPP误差进行了仿真。仿真结果表明，与其他技术相比，基于FLC的MPPT技术效率更高，能量转换效率高达97.02%。

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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2018 International Conference on Electrical Engineering (ICEE)

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