A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions
At present, a photovoltaic (PV) system takes responsibility to reduce the risk of global warming and generate electricity. However, the PV system faces numerous problems to track global maximum peak power (GMPP) owing to the nonlinear nature of the environment especially due to partial shading condi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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Springer
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39251/ http://umpir.ump.edu.my/id/eprint/39251/2/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique%20for%20green%20energy%20harvesting%20from%20photovoltaic%20systems%20under%20different%20atmospheric%20conditions.pdf http://umpir.ump.edu.my/id/eprint/39251/3/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique.pdf |
| _version_ | 1848825720401297408 |
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| author | Kishore, Dokala Janandra Krishna Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri |
| author_facet | Kishore, Dokala Janandra Krishna Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri |
| author_sort | Kishore, Dokala Janandra Krishna |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | At present, a photovoltaic (PV) system takes responsibility to reduce the risk of global warming and generate electricity. However, the PV system faces numerous problems to track global maximum peak power (GMPP) owing to the nonlinear nature of the environment especially due to partial shading conditions (PSC). To solve these difficulties, previous researchers have utilized various conventional methods for investigations. Nevertheless, these methods have oscillations around the GMPP. Hence, a new metaheuristic method such as an opposition-based equilibrium optimizer (OBEO) algorithm is used in this work for mitigating the oscillations around GMPP. To find the effectiveness of the proposed method, it can be evaluated with other methods such as SSA, GWO, and P&O. As per the simulation outcome, the proposed OBEO method provides maximum efficiency against all other methods. The efficiency for the proposed method under dynamic PSC is 95.09% in 0.16 s, similarly, 96.17% for uniform PSC and 86.25% for complex PSC. |
| first_indexed | 2025-11-15T03:33:25Z |
| format | Article |
| id | ump-39251 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:33:25Z |
| publishDate | 2023 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-392512023-11-09T03:06:36Z http://umpir.ump.edu.my/id/eprint/39251/ A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions Kishore, Dokala Janandra Krishna Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri T Technology (General) TK Electrical engineering. Electronics Nuclear engineering At present, a photovoltaic (PV) system takes responsibility to reduce the risk of global warming and generate electricity. However, the PV system faces numerous problems to track global maximum peak power (GMPP) owing to the nonlinear nature of the environment especially due to partial shading conditions (PSC). To solve these difficulties, previous researchers have utilized various conventional methods for investigations. Nevertheless, these methods have oscillations around the GMPP. Hence, a new metaheuristic method such as an opposition-based equilibrium optimizer (OBEO) algorithm is used in this work for mitigating the oscillations around GMPP. To find the effectiveness of the proposed method, it can be evaluated with other methods such as SSA, GWO, and P&O. As per the simulation outcome, the proposed OBEO method provides maximum efficiency against all other methods. The efficiency for the proposed method under dynamic PSC is 95.09% in 0.16 s, similarly, 96.17% for uniform PSC and 86.25% for complex PSC. Springer 2023-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39251/2/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique%20for%20green%20energy%20harvesting%20from%20photovoltaic%20systems%20under%20different%20atmospheric%20conditions.pdf pdf en http://umpir.ump.edu.my/id/eprint/39251/3/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique.pdf Kishore, Dokala Janandra Krishna and Mohd Rusllim, Mohamed and Sudhakar, Kumarasamy and Peddakapu, kurukuri (2023) A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions. Environmental Science and Pollution Research, 30. pp. 84167-84182. ISSN 1614-7499. (Published) https://doi.org/10.1007/s11356-023-28248-8 10.1007/s11356-023-28248-8 |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Kishore, Dokala Janandra Krishna Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title | A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title_full | A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title_fullStr | A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title_full_unstemmed | A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title_short | A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| title_sort | new meta‑heuristic optimization‑based mppt control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39251/ http://umpir.ump.edu.my/id/eprint/39251/ http://umpir.ump.edu.my/id/eprint/39251/ http://umpir.ump.edu.my/id/eprint/39251/2/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique%20for%20green%20energy%20harvesting%20from%20photovoltaic%20systems%20under%20different%20atmospheric%20conditions.pdf http://umpir.ump.edu.my/id/eprint/39251/3/A%20new%20meta%E2%80%91heuristic%20optimization%E2%80%91based%20MPPT%20control%20technique.pdf |