Design and Analysis of ANFIS - Based MPPT Method for Solar Photovoltaic Applications

被引：27

作者：

Revathy, S. R. ^{[1
]}

Kirubakaran, V. ^{[1
]}

Rajeshwaran, M. ^{[2
]}

Balasundaram, T. ^{[3
]}

Sekar, V. S. Chandra ^{[4
]}

Alghamdi, Saad ^{[5
]}

Rajab, Bodour S. ^{[5
]}

Babalghith, Ahmad O. ^{[6
]}

Anbese, Endalkachew Mergia ^{[7
]}

机构：

[1] Gandhigram Rural Inst, Ctr Rural Energy, Gandhigram 624302, Tamil Nadu, India

[2] Mother Terasa Coll Engn & Technol, Dept Mech Engn, Pudukkottai 622102, Tamil Nadu, India

[3] Medak Coll Engn & Technol, Dept Mech Engn, Siddipet, Telangana, India

[4] Univ Coll Engn Dindigul, Dept Mech Engn, Dindigul 624622, Tamil Nadu, India

[5] Umm Al Qura Univ, Fac Appl Med Sci, Lab Med Dept, Mecca, Saudi Arabia

[6] Umm Al Qura Univ, Coll Med, Med Genet Dept, Mecca, Saudi Arabia

[7] Ambo Univ, Dept Civil Engn, Ambo, Ethiopia

来源：

INTERNATIONAL JOURNAL OF PHOTOENERGY | 2022年 / 2022卷

关键词：

POWER POINT TRACKING; CONTROLLER; SYSTEMS;

D O I：

10.1155/2022/9625564

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The solar photovoltaic energy is becoming popular in the modern-day distribution networks due to the clean energy factor. The photovoltaic modules exhibit a nonlinearity in the output power concerning the environmental conditions. This work suggests an adaptive neuro-fuzzy inference system- (ANFIS-) based maximal power point tracker (MPPT) for the optimization of the solar photovoltaic system (SPVS). The controller modelled is utilized to optimize the output power of a DC-DC converter connected to a 400 W PV array. The entire model is analysed employing MATLAB/SIMULINK using primary features provided by the technical data. The behavior of the controller modelled is tested for various weather conditions and partial shading conditions. The findings show the controller's tracking speed effectiveness and dynamic response in PSCs.

引用

页数：9

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