A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems

被引：316

作者：

Bendib, Boualem ^{[1
,2
]}

Belmili, Hocine ^{[1
]}

Krim, Fateh ^{[2
]}

机构：

[1] CDER, UDES, Bou Ismail 42415, W Tipaza, Algeria

[2] Univ Setif 1, Fac Technol, LEPCI, Setif 19000, Algeria

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2015年 / 45卷

关键词：

Photovoltaic; MPPT; P&O; IncCond; Fuzzy Logic; Matlab/Simulink; INCREMENTAL CONDUCTANCE MPPT; POINT TRACKING ALGORITHMS; IMPLEMENTATION; PERTURB; OBSERVE; SOLAR; ENERGY; SIMULATION; INVERTERS; MODULE;

D O I：

10.1016/j.rser.2015.02.009

中图分类号：

X [环境科学、安全科学];

学科分类号：

083001 [环境科学];

摘要：

Maximum Power Point Tracking (MPPT) methods are used in photovoltaic (PV) systems to continually maximize the PV array output power which generally depends on solar radiation and cell temperature. MPPT methods can be roughly classified into two categories: there are conventional methods, like the Perturbation and Observation (P&O) method and the Incremental Conductance (IncCond) method and advanced methods, such as, fuzzy logic (FL) based MPPT method. This paper presents a survey of these methods in order to analyze, simulate, and evaluate a PV power supply system under varying meteorological conditions. Simulation results, obtained using MATLAB/Simulink, show that static and dynamic performances of fuzzy MPPT controller are better than those of conventional techniques based controller. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：637 / 648

页数：12

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