Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions
The P-V and I-V curves of photovoltaic (PV) strings show multiple peaks when exposed to partial shading conditions (PSCs). The traditional maximum power point tracking (MPPT) method cannot track the global maximum power point (GMPP) due to the multi-peak characteristics, power fluctuation, and track...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/5/1258 |
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| author | Qianjin Gui Lei Wang Chao Ding Wenfa Xu Xiaoyang Li Feilong Yu Haisen Wang |
| author_facet | Qianjin Gui Lei Wang Chao Ding Wenfa Xu Xiaoyang Li Feilong Yu Haisen Wang |
| author_sort | Qianjin Gui |
| collection | DOAJ |
| description | The P-V and I-V curves of photovoltaic (PV) strings show multiple peaks when exposed to partial shading conditions (PSCs). The traditional maximum power point tracking (MPPT) method cannot track the global maximum power point (GMPP) due to the multi-peak characteristics, power fluctuation, and tracking speed. In this paper, a multi-peak PV MPPT method based on the honey badger algorithm (HBA) is proposed to track the GMPP in a localized shading environment. The performance of this method is also compared and analyzed with the traditional MPPT methods based on the perturbation observation (P&O) method and Particle Swarm Optimization (PSO) algorithm. The experimental results have proven that, compared with the MPPT methods based on P&O and PSO, the proposed multi-peak MPPT method based on the HBA algorithm has a faster tracking speed, higher tracking accuracy, and fewer iterations. |
| format | Article |
| id | doaj-art-de8fb1fee322407b8946eed8bb8c1c76 |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-de8fb1fee322407b8946eed8bb8c1c762025-08-20T02:53:02ZengMDPI AGEnergies1996-10732025-03-01185125810.3390/en18051258Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading ConditionsQianjin Gui0Lei Wang1Chao Ding2Wenfa Xu3Xiaoyang Li4Feilong Yu5Haisen Wang6State Grid Anqing Electric Power Supply Company, Anqing 246000, ChinaState Grid Anhui Electric Power Co., Ltd., Hefei 230000, ChinaState Grid Anhui Electric Power Co., Ltd., Hefei 230000, ChinaState Grid Anqing Electric Power Supply Company, Anqing 246000, ChinaState Grid Anqing Electric Power Supply Company, Anqing 246000, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaThe P-V and I-V curves of photovoltaic (PV) strings show multiple peaks when exposed to partial shading conditions (PSCs). The traditional maximum power point tracking (MPPT) method cannot track the global maximum power point (GMPP) due to the multi-peak characteristics, power fluctuation, and tracking speed. In this paper, a multi-peak PV MPPT method based on the honey badger algorithm (HBA) is proposed to track the GMPP in a localized shading environment. The performance of this method is also compared and analyzed with the traditional MPPT methods based on the perturbation observation (P&O) method and Particle Swarm Optimization (PSO) algorithm. The experimental results have proven that, compared with the MPPT methods based on P&O and PSO, the proposed multi-peak MPPT method based on the HBA algorithm has a faster tracking speed, higher tracking accuracy, and fewer iterations.https://www.mdpi.com/1996-1073/18/5/1258photovoltaic power systemspartial shadingmulti-peak power pointshoney badger algorithmmaximum power point tracking |
| spellingShingle | Qianjin Gui Lei Wang Chao Ding Wenfa Xu Xiaoyang Li Feilong Yu Haisen Wang Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions Energies photovoltaic power systems partial shading multi-peak power points honey badger algorithm maximum power point tracking |
| title | Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions |
| title_full | Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions |
| title_fullStr | Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions |
| title_full_unstemmed | Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions |
| title_short | Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions |
| title_sort | multi peak photovoltaic maximum power point tracking method based on honey badger algorithm under localized shading conditions |
| topic | photovoltaic power systems partial shading multi-peak power points honey badger algorithm maximum power point tracking |
| url | https://www.mdpi.com/1996-1073/18/5/1258 |
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