An improved fuzzy logic control MPPT based P&O method to solve fast irradiation change problem

被引:11
作者
Boukezata, Boualem [1 ]
Chaoui, Abdelmadjid [1 ]
Gaubert, Jean-Paul [2 ]
Hachemi, Mabrouk [3 ]
机构
[1] Univ Ferhat Abbas, Lab Power Qual Elect Networks, Cite Maabouda Route Bejaia, Setif 19000, Algeria
[2] ENSIP, Lab Comp Sci & Automat Control Syst, LIAS, Bat B25,2 Rue Pierre Brousse TSA 41105, F-86073 Poitiers 9, France
[3] Univ Ferhat Abbas, Automat Lab Setif, Cite Maabouda Route Bejaia, Setif 19000, Algeria
关键词
POWER POINT TRACKING; PHOTOVOLTAIC SYSTEMS; ALGORITHM; PERTURB; OPTIMIZATION; INVERTER;
D O I
10.1063/1.4960409
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes a fuzzy control method for tracking maximum power point in photovoltaic (PV) power systems to solve a fast irradiation change problem. Perturb and Observe (P&O) is known as a very simple maximum power point tracking and is extensively disseminated. Fuzzy logic is also simple to investigate and provides fast dynamics. The suggested technique combines both fuzzy logic and P&O advantages. A fuzzy logic-based P&O algorithm is illustrated to identify the fault direction tracking of conventional P&O algorithm under trapezoidal irradiation change. The proposed algorithm is verified using Matlab/Simulink TM software. The robust tracking capability under rapidly increasing and decreasing irradiance is verified experimentally with a PV array emulator. Simulation and experimental results confirm that the proposed algorithm provides effective, fast, and accurate tracking compared to the conventional P&O algorithm. Published by AIP Publishing.
引用
收藏
页数:14
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