Fuzzy Logic-based Power Optimizer for Solar Photovoltaic Power Systems

被引：0
|
作者：
Rajaram, Revathy Subbiah [1 ]
Babu, Padaga Kumar [2 ]
Victor, Kirubakaran [1 ]
Kandasamy, Raja [3 ]
Pushpanathan, Ganeshan [4 ]
Sivakumar, Vivek [5 ]
Pushpanathan, Ramshankar [6 ]
Vinayagam, Mohanavel [7 ]
Barathy, Sachuthananthan [8 ]
机构：
[1] Gandhigram Rural Inst Deemed Univ, Ctr Rural Energy, Gandhigram 624302, Tamil Nadu, India
[2] Geethanjali Inst Sci & Technol, Dept Mech Engn, Nellore 524316, Andhra Pradesh, India
[3] Anna Univ Reg Campus Coimbatore, Dept Mech Engn, Coimbatore 641046, Tamil Nadu, India
[4] Sri Eshwar Coll Engn, Ctr Augmented Intelligence & Design, Dept Mech Engn, Coimbatore 641202, Tamil Nadu, India
[5] GMR Inst Technol, Dept Civil Engn, Razam 532127, Andra Pradesh, India
[6] Anna Univ, Coll Engn Guindy, Dept Civil Engn, Chennai 600025, Tamil Nadu, India
[7] Bharath Inst Higher Educ & Res, Ctr Mat Engn & Regenerat Med, Chennai 600073, Tamil Nadu, India
[8] Sree Vidyanikethan Engn Coll, Dept Mech Engn, Tirupati 517102, Andhra Pradesh, India
来源：
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY | 2024年 / 32卷
关键词：
Fuzzy logic; machine language; MATLAB; photovoltaics; solar energy; CONTROLLER;
D O I：
10.47836/pjst.32.S1.06
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Solar photovoltaics has become the most popular renewable energy source due to its simplicity in installation and maintenance. However, the dependence on the availability of solar energy at the instant makes its operation non-linear. Various optimizing solutions are proposed to rule out this disadvantage. This paper dwells on a machine language approach to solve this problem. A maximal tracker for power points relies on fuzzy logic control. An embedded power optimizer is designed and tested under different environmental conditions through simulation. The results presented allow researchers to test various artificial intelligence techniques for renewable energy extraction processes
引用
收藏
页码：93 / 110
页数：18
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