A Comparative Study of Classical and Advanced MPPT Control Algorithms for Photovoltaic Systems

被引：3
|
作者：
Hebib, Abderrahmane [1 ,2 ]
Allaoui, Tayeb [2 ]
Chaker, Abdelkader [1 ]
Belabbas, Belkacem [2 ]
Denai, Mouloud [3 ]
机构：
[1] ENP, Dept Elect Engn, Fac Elect Engn, SCAMRE Lab, Oran 31000, Algeria
[2] Ibn Khaldoun Univ, Fac Appl Sci, Dept Elect Engn, L2GEGI Lab, Tiaret 14000, Algeria
[3] Univ Hertfordshire, Sch Engn & Technol, Hatfield, Herts, England
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2020年 / 96卷 / 11期
关键词：
Photovoltaic; MPPT; Fuzzy Logic; Sliding mode; Boost converter; POWER POINT TRACKING;
D O I：
10.15199/48.2020.11.14
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper is aimed to study and compare the performance of four different Maximum Power Point Tracking (MPPT) techniques used to extract the maximum power from photovoltaic (PV) systems. The MPPT methods considered in this study include Perturb and Observe (PO), Fuzzy Logic Control (FLC), Sliding Mode Control (SMC) and Fuzzy Sliding Mode Control (FSMC). A PV model and DC-DC power converter are modelled in Matlab Simpower Systems toolbox and the MPPT algorithms are tested under different operating conditions to analyse the performance and limitations of each algorithm.
引用
收藏
页码：65 / 69
页数：5
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