Comparison of Three Techniques for Maximum Power Point Tracking of Solar PV

被引:0
作者
Sagonda, Arnold F. [1 ]
Folly, Komla A. [1 ]
Kenneth, Ainah P. [1 ]
机构
[1] Univ Cape Town, Dept Elect Engn, Cape Town, South Africa
来源
2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2018年
基金
新加坡国家研究基金会;
关键词
FUZZY Logic; IC; MPPT; P&O;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper compares three techniques for maximum power point tracking of a solar PV; namely, Fuzzy logic, perturb and observe (P&O) and increment conductance method (IC). It is shown that the Fuzzy control technique gives a better and more reliable performance than the conventional methods. It can track the maximum power point (MPP) faster and minimize the power oscillations around the MPP. The paper also describes how the P&O algorithm gets lost in tracking the MPP under rapid varying irradiance and how the IC is unstable at low irradiance.
引用
收藏
页数:8
相关论文
共 16 条
[1]  
Adel Yasmin, 2016, Water Science, V30, P108, DOI 10.1016/j.wsj.2016.10.004
[2]  
Ait CheikhM.S., 2007, Revue Energ. Renouv, V10, P387
[3]  
[Anonymous], 2007, POWER ELECT CONVERTE
[4]  
[Anonymous], 2005, THESIS
[5]   Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study [J].
Kermadi, Mostefa ;
Berkouk, El Madjid .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 69 :369-386
[6]  
Kumar Mukesh., 2015, Int. J. Adv. Res. Electr. Commun. Eng, V4
[7]   A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions [J].
Liu, Yi-Hwa ;
Huang, Shyh-Ching ;
Huang, Jia-Wei ;
Liang, Wen-Cheng .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2012, 27 (04) :1027-1035
[8]  
Lodhi E., 2017, INT J ELECT ELECT EN, V5
[9]   An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications [J].
Na, Woonki ;
Chen, Pengyuan ;
Kim, Jonghoon .
APPLIED SCIENCES-BASEL, 2017, 7 (04)
[10]  
Narendiran S, 2016, INT ENERGY J, V16, P107