Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations
Computer circuits; Control systems; Fossil fuels; Fuzzy logic; Membership functions; Photovoltaic cells; Power control; Power converters; Renewable energy resources; User interfaces; Alternative energy source; Conventional energy sources; Fuzzy logic controllers; inverter; Photovoltaic applications;...
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2023
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my.uniten.dspace-250302023-05-29T15:30:40Z Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations Hannan M.A. Ghani Z.A. Hoque M.M. Ker P.J. Hussain A. Mohamed A. 7103014445 36966886600 56583590200 37461740800 57208481391 57195440511 Computer circuits; Control systems; Fossil fuels; Fuzzy logic; Membership functions; Photovoltaic cells; Power control; Power converters; Renewable energy resources; User interfaces; Alternative energy source; Conventional energy sources; Fuzzy logic controllers; inverter; Photovoltaic applications; Photovoltaic systems; Renewable energy source; Research and development; Controllers Fossil fuels and other conventional energy sources used to generate electricity are finite. Therefore, alternative energy sources should be pursued to meet present and future energy demands. The photovoltaic (PV) is a promising renewable energy source, especially for the remote areas. The PV is a DC power source that needs to be converted into usable AC power using an inverter. However, its nonlinearity and output fluctuation pose challenges in the design of PV based inverter. In this paper, a PV inverter controller system with the fundamentals of a fuzzy logic controller (FLC) and its applications and execution are reviewed. The different fuzzy controllers, inverter control algorithms, and switching techniques are studied. The findings indicate that the fuzzy logic controls have been gaining attention in the area of power control engineering, especially in inverter controller design for PV applications and generation. The FLC has a flexible and intelligent design, expedient user interface, easy computation and learning system, and combinations of different control algorithms. The FLC is also verifiable for completeness, redundancy, and consistency. However, finding the boundaries of membership functions and other rules of FLC requires manual tuning, long computation time, and considerable effort. This paper comprehensively reviews the FLC-based inverter control system to minimize PV output fluctuations, which cause inverter issues related to output harmonics, power factor, switching schemes, losses, and system implementation. The inverter system and its control strategy for future PV applications and generation require further research and development. Consequently, this review focuses on many factors and challenges and provides recommendations for designing capable and efficient inverter control systems for converting PV power to usable AC power. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced inverter control systems for PV applications for AC loads and the utility grid. � 2013 IEEE. Final 2023-05-29T07:30:40Z 2023-05-29T07:30:40Z 2019 Article 10.1109/ACCESS.2019.2899610 2-s2.0-85062703601 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062703601&doi=10.1109%2fACCESS.2019.2899610&partnerID=40&md5=2262466f8c3b2fde0bfcad254a14556d https://irepository.uniten.edu.my/handle/123456789/25030 7 8642881 24934 24955 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Computer circuits; Control systems; Fossil fuels; Fuzzy logic; Membership functions; Photovoltaic cells; Power control; Power converters; Renewable energy resources; User interfaces; Alternative energy source; Conventional energy sources; Fuzzy logic controllers; inverter; Photovoltaic applications; Photovoltaic systems; Renewable energy source; Research and development; Controllers |
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7103014445 Hannan M.A. Ghani Z.A. Hoque M.M. Ker P.J. Hussain A. Mohamed A. |
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Hannan M.A. Ghani Z.A. Hoque M.M. Ker P.J. Hussain A. Mohamed A. |
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Hannan M.A. Ghani Z.A. Hoque M.M. Ker P.J. Hussain A. Mohamed A. Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
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Hannan M.A. |
title |
Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
title_short |
Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
title_full |
Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
title_fullStr |
Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
title_full_unstemmed |
Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations |
title_sort |
fuzzy logic inverter controller in photovoltaic applications: issues and recommendations |
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Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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1806428437488861184 |
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13.214268 |