Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking

This study examines the performance characteristics of photovoltaic cells and the mechanisms behind controlling the maximum power point tracking. A mathematical model is developed to precisely represent the power generated by a solar cell. Additionally, a new control strategy is introduced that util...

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Published in:Proceedings of 2024 International Conference on Energy and Electrical Engineering, EEE 2024
Main Author: Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207949051&doi=10.1109%2fEEE59956.2024.10709674&partnerID=40&md5=af4ce8b360a3f273561d4c895206646e
id 2-s2.0-85207949051
spelling 2-s2.0-85207949051
Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
2024
Proceedings of 2024 International Conference on Energy and Electrical Engineering, EEE 2024


10.1109/EEE59956.2024.10709674
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207949051&doi=10.1109%2fEEE59956.2024.10709674&partnerID=40&md5=af4ce8b360a3f273561d4c895206646e
This study examines the performance characteristics of photovoltaic cells and the mechanisms behind controlling the maximum power point tracking. A mathematical model is developed to precisely represent the power generated by a solar cell. Additionally, a new control strategy is introduced that utilizes fuzzy control and perturbation observation techniques. The proposed strategy is evaluated against standard perturbation observation and fuzzy control methods using MATLAB/Simulink simulations. The results indicate exceptional performance, characterized by increased tracking speed, improved tracking accuracy, and enhanced resistance to interference. This strategy has great potential for enhancing the efficiency of electricity generation. © 2024 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
spellingShingle Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
author_facet Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
author_sort Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
title Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
title_short Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
title_full Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
title_fullStr Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
title_full_unstemmed Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
title_sort Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
publishDate 2024
container_title Proceedings of 2024 International Conference on Energy and Electrical Engineering, EEE 2024
container_volume
container_issue
doi_str_mv 10.1109/EEE59956.2024.10709674
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207949051&doi=10.1109%2fEEE59956.2024.10709674&partnerID=40&md5=af4ce8b360a3f273561d4c895206646e
description This study examines the performance characteristics of photovoltaic cells and the mechanisms behind controlling the maximum power point tracking. A mathematical model is developed to precisely represent the power generated by a solar cell. Additionally, a new control strategy is introduced that utilizes fuzzy control and perturbation observation techniques. The proposed strategy is evaluated against standard perturbation observation and fuzzy control methods using MATLAB/Simulink simulations. The results indicate exceptional performance, characterized by increased tracking speed, improved tracking accuracy, and enhanced resistance to interference. This strategy has great potential for enhancing the efficiency of electricity generation. © 2024 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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