Intelligent Controller for Tracking the MPP of a PV System under Partial Shaded Conditions

被引：2
|
作者：
Natsheh E. [1 ]
Natsheh A.-R. [2 ]
Khatib T. [3 ]
机构：
[1] Department of Computer Engineering, An-Najah National University, Nablus
[2] Department of Computerized Information Systems, An-Najah National University, Nablus
[3] Department of Energy Engineering and Environment, An-Najah National University, Nablus
来源：
Applied Solar Energy (English translation of Geliotekhnika) | 2019年 / 55卷 / 05期
关键词：
artificial neural network; hill climbing; maximum power point tracker; partial shading; perturbation and observation; photovoltaic system;
D O I：
10.3103/S0003701X19050086
中图分类号：
学科分类号：
摘要：
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%. © 2019, Allerton Press, Inc.
引用
收藏
页码：282 / 290
页数：8
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