Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems
Global optimization; Irradiation; Photovoltaic cells; Solar power generation; Chaos maps; Environmental conditions; Irradiation conditions; Maximum Power Point Tracking; Nonlinear characteristics; Optimization techniques; Partial shading; Solar photovoltaic system; Maximum power point trackers
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2023
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my.uniten.dspace-244432023-05-29T15:23:33Z Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Beshr E. Eteiba M.B. 56688582500 56267551500 55940454800 6602912020 16201948000 6603527538 Global optimization; Irradiation; Photovoltaic cells; Solar power generation; Chaos maps; Environmental conditions; Irradiation conditions; Maximum Power Point Tracking; Nonlinear characteristics; Optimization techniques; Partial shading; Solar photovoltaic system; Maximum power point trackers Solar Photovoltaic (PV) systems have become prominent and have attained the attention of energy engineers, governments and researchers. To achieve the maximum benefit from the PV system in spite of its nonlinear characteristic and environmental conditions, finding a robust maximum power point tracking method is essential. Over two decades, various researchers proposed numerous MPPT methods, but they failed to evaluate their methods on consistency, reliability, and robustness over several numbers of runs. Most of the researchers examined one configuration and they did not to consider the dynamic change in the irradiation conditions. Therefore, in this manuscript, the authors introduced a novel optimization technique Fractional chaotic Flower Pollination Algorithm (FC-FPA), by merging fractional chaos maps with flower pollination algorithm (FPA). The proposed technique, help FPA in extracting the Global Maximum Power Point (GMPP) under different partial shading patterns including with different PV array configurations. The proposed FC-FPA technique is tested and evaluated over 5 different patterns of partial shading conditions. The first three patterns are tested over 4S configuration made with Shell S36 PV module. The other two patterns are applied to the 4S2P configuration of Shell SM55 PV panels. The performance of the proposed variant is investigated by tracking the GMPP for abruptly changing shade pattern. Exclusive statistical analysis is performed over several numbers of runs. Comparison with perturb and observe MPPT technique is established. These results confirm that, the proposed method shows fast convergence, zero oscillation and rapid response for the dynamic change in irradiation with consistent behavior. � 2019 by the authors. Final 2023-05-29T07:23:33Z 2023-05-29T07:23:33Z 2019 Article 10.3390/en12183548 2-s2.0-85072526419 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072526419&doi=10.3390%2fen12183548&partnerID=40&md5=f24027cda6a7605fe9b1a570611abe44 https://irepository.uniten.edu.my/handle/123456789/24443 12 18 3548 All Open Access, Gold, Green MDPI AG Scopus |
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| description |
Global optimization; Irradiation; Photovoltaic cells; Solar power generation; Chaos maps; Environmental conditions; Irradiation conditions; Maximum Power Point Tracking; Nonlinear characteristics; Optimization techniques; Partial shading; Solar photovoltaic system; Maximum power point trackers |
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56688582500 Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Beshr E. Eteiba M.B. |
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Article |
| author |
Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Beshr E. Eteiba M.B. |
| spellingShingle |
Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Beshr E. Eteiba M.B. Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| author_sort |
Yousri D. |
| title |
Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| title_short |
Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| title_full |
Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| title_fullStr |
Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| title_full_unstemmed |
Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| title_sort |
fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems |
| publisher |
MDPI AG |
| publishDate |
2023 |
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1806426632215330816 |