An efficient Fuzzy Logic MPPT Control Approach for Solar PV System: A Comparative Analysis with the Conventional Perturb and Observe Technique
| Autor: | Mounir Dabboussi, Ali Hmidet, Olfa Boubaker |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Maximum power principle Oscillation Computer science Computer Science::Neural and Evolutionary Computation Control (management) Photovoltaic system Response time 02 engineering and technology Fuzzy logic Maximum power point tracking 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Point (geometry) |
| Zdroj: | 2020 6th IEEE International Energy Conference (ENERGYCon). |
| DOI: | 10.1109/energycon48941.2020.9236503 |
| Popis: | In this paper, a Fuzzy Logic control (FLC) approach is proposed to track the maximum power in photovoltaic solar systems. In order to prove the performance of the proposed maximum power point tracking (MPPT) FLC algorithm, a comparative analysis is established with the conventional Perturb and Observe (P & O) control approach. The comparative study is carried out under variations in insolation and temperature. All obtained results prove the superiority of the FLC approach in terms of oscillation dynamics and response time of the system at starting and to track the maximum power point (MPP). |
| Databáze: | OpenAIRE |
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