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...
| Published in: | Proceedings of 2024 International Conference on Energy and Electrical Engineering, EEE 2024 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207949051&doi=10.1109%2fEEE59956.2024.10709674&partnerID=40&md5=af4ce8b360a3f273561d4c895206646e |
| Summary: | 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. |
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| ISSN: | |
| DOI: | 10.1109/EEE59956.2024.10709674 |