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Intelligent Controller for Tracking the MPP of a PV System under Partial Shaded Conditions
Applied Solar Energy Pub Date : 2020-03-16 , DOI: 10.3103/s0003701x19050086
Emad Natsheh , Abdel-Razzak Natsheh , Tamer Khatib

Abstract

This paper presents an intelligent maximum power point tracker which combines the conventional perturbation and observation method and an artificial neural network. The proposed controller overcomes the drawback of the conventional perturbation and observation under partial shading conditions. A MATLAB model for a photovoltaic system is developed so as to simulate system’s performance and characteristic under partial shading condition. This model includes models for PV array, DC–DC boost converter as well as the proposed algorithm. Results show that the proposed algorithm is able to track the global maxima accurately regardless the number of surrounding local maxima points with an efficiency of 95%.


中文翻译:

在部分阴影条件下跟踪光伏系统MPP的智能控制器

摘要

本文提出了一种智能的最大功率点跟踪器,它结合了传统的摄动和观察方法以及人工神经网络。所提出的控制器克服了在部分阴影条件下传统的摄动和观察的缺点。开发了用于光伏系统的MATLAB模型,以便在部分阴影条件下模拟系统的性能和特性。该模型包括光伏阵列,DC-DC升压转换器以及所提出的算法的模型。结果表明,所提出的算法能够准确跟踪全局最大值,而与周围局部最大值点的数量无关,效率为95%。
更新日期:2020-03-16
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