Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions
Maximum power-point-tracking techniques applied for partially shaded photovoltaic array yield maximum power output via operating the panel at its most efficient voltage. Considering the noticeable issues existing with the available methods, including steady-state oscillations, poor tracking capabili...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/8/2850 |
| _version_ | 1827619866683637760 |
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| author | Ezhilmaran Ranganathan Rajasekar Natarajan |
| author_facet | Ezhilmaran Ranganathan Rajasekar Natarajan |
| author_sort | Ezhilmaran Ranganathan |
| collection | DOAJ |
| description | Maximum power-point-tracking techniques applied for partially shaded photovoltaic array yield maximum power output via operating the panel at its most efficient voltage. Considering the noticeable issues existing with the available methods, including steady-state oscillations, poor tracking capability and complex procedures, a new bioinspired Spotted-Hyena Optimizer (SHO) is proposed. It follows simple implementation steps, and does not require additional controller-parameter tuning to track the optimal power point. To validate the versatility of the proposed method, the SHO algorithm is applied to track the maximum power of different string arrangements under six partial-shade conditions. Further, to authenticate SHO’s methods, its results are compared with perturb-and-observe (P&O), and particle-swarm-optimization (PSO) methods. As a result of its implementation, it is observed that the tracking speed of SHO towards the global convergence for four patterns under 4S2P are 0.34 s, 0.24 s, 0.2 s, and 0.3 s, which is far less than the PSO and P&O methods. Further, to demonstrate its suitability, a hardware prototype is built and tested for various operating conditions. The experimental results are in good agreement with the simulated values. |
| first_indexed | 2024-03-09T10:38:43Z |
| format | Article |
| id | doaj.art-7be1f5337a224fdbbe70fcd1325c52ae |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T10:38:43Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7be1f5337a224fdbbe70fcd1325c52ae2023-12-01T20:49:07ZengMDPI AGEnergies1996-10732022-04-01158285010.3390/en15082850Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade ConditionsEzhilmaran Ranganathan0Rajasekar Natarajan1Solar Energy Research Cell (SERC), School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, IndiaSolar Energy Research Cell (SERC), School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, IndiaMaximum power-point-tracking techniques applied for partially shaded photovoltaic array yield maximum power output via operating the panel at its most efficient voltage. Considering the noticeable issues existing with the available methods, including steady-state oscillations, poor tracking capability and complex procedures, a new bioinspired Spotted-Hyena Optimizer (SHO) is proposed. It follows simple implementation steps, and does not require additional controller-parameter tuning to track the optimal power point. To validate the versatility of the proposed method, the SHO algorithm is applied to track the maximum power of different string arrangements under six partial-shade conditions. Further, to authenticate SHO’s methods, its results are compared with perturb-and-observe (P&O), and particle-swarm-optimization (PSO) methods. As a result of its implementation, it is observed that the tracking speed of SHO towards the global convergence for four patterns under 4S2P are 0.34 s, 0.24 s, 0.2 s, and 0.3 s, which is far less than the PSO and P&O methods. Further, to demonstrate its suitability, a hardware prototype is built and tested for various operating conditions. The experimental results are in good agreement with the simulated values.https://www.mdpi.com/1996-1073/15/8/2850maximum power point tracking (MPPT)optimizationpartial shadingperturb-and-observe algorithm (P&O)photovoltaic (PV) arraysolar energy |
| spellingShingle | Ezhilmaran Ranganathan Rajasekar Natarajan Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions Energies maximum power point tracking (MPPT) optimization partial shading perturb-and-observe algorithm (P&O) photovoltaic (PV) array solar energy |
| title | Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions |
| title_full | Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions |
| title_fullStr | Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions |
| title_full_unstemmed | Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions |
| title_short | Spotted Hyena Optimization Method for Harvesting Maximum PV Power under Uniform and Partial-Shade Conditions |
| title_sort | spotted hyena optimization method for harvesting maximum pv power under uniform and partial shade conditions |
| topic | maximum power point tracking (MPPT) optimization partial shading perturb-and-observe algorithm (P&O) photovoltaic (PV) array solar energy |
| url | https://www.mdpi.com/1996-1073/15/8/2850 |
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