文章基本信息

标题：An Optimized Steepest Gradient Based Maximum Power Point Tracking for PV Control Systems
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作者：Karima Amara ; Toufik Bakir ; Ali Malek 等
期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2019
卷号：11
期号：4
页码：662-683
DOI：10.15676/ijeei.2019.11.4.3
出版社：School of Electrical Engineering and Informatics
摘要：In order to improve the photovoltaic (PV) production, the researchers are interestedin developing new methods to reach the Maximum Power Point (MPP) produced by thephotovoltaic field to be injected into the utility grid. This article describes a new method calledthe Optimized Steepest Gradient Method (OSGM), it is based on the first (gradient) and secondorder (hessian) derivatives of the power function in order to find the best variation of thevoltage (Vpv) with the calculation of the optimal step allowing the convergence to the tensionvalue (Vref) which ensures the MPP. The mathematical model has been developed andimplemented under Matlab/Simulink environment. To analyze Maximum Power PointTracking (MPPT) algorithm performances, time response, oscillation, overshoot and stabilityare taken into account. The OSGM is implemented and compared to three others algorithms(one of these algorithm is the ANFIS proposed in previous work). Performances obtained bythe proposed algorithm offer faster response, less oscillations around MPP and a low energyloss. In addition, numerical computation of the gradient and the hessian of the power functionallow bypassing modeling inaccuracies.
关键词：MPPT; ANFIS; P&O; MG; OSGM; descent method;