An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions
The photovoltaic (PV) systems are performing a substantial role in electric power systems for generating electrical power in various uncertain circumstances. Nonetheless, the PV systems face numerous challenges for power production in the event of partial conditions. Moreover, different types of mul...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Institute of Physics
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/35436/ http://umpir.ump.edu.my/id/eprint/35436/1/An%20improved%20grey%20wolf%20optimization%20based%20MPPT%20algorithm%20for%20photovoltaic%20systems.pdf |
| _version_ | 1848824778097426432 |
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| author | D. J., Krishna Kishore M. R., Mohamed K., Sudhakar K., Peddakapu |
| author_facet | D. J., Krishna Kishore M. R., Mohamed K., Sudhakar K., Peddakapu |
| author_sort | D. J., Krishna Kishore |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The photovoltaic (PV) systems are performing a substantial role in electric power systems for generating electrical power in various uncertain circumstances. Nonetheless, the PV systems face numerous challenges for power production in the event of partial conditions. Moreover, different types of multiple peak power points (MPPP) are generated in the characteristics of the PV system under diverse partial patterns. The MPPP's having only one global maximum peak power (GMPP) and the remaining are local peak PowerPoints (LPPP), in which LPPP are interrupted to grab maximum power. Hence, improved grey wolf optimization (I-GWO) approach is developed in this work for enriching the required power generation at partial conditions. The proposed system has been designed in the MATLAB/Simulink environment. As per the simulation findings, the suggested I-GWO demonstrates great performance with regards to tracking time, accuracy, and efficiency as compared with other studied algorithms. |
| first_indexed | 2025-11-15T03:18:26Z |
| format | Conference or Workshop Item |
| id | ump-35436 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:18:26Z |
| publishDate | 2022 |
| publisher | Institute of Physics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-354362022-10-26T02:06:49Z http://umpir.ump.edu.my/id/eprint/35436/ An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions D. J., Krishna Kishore M. R., Mohamed K., Sudhakar K., Peddakapu T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering The photovoltaic (PV) systems are performing a substantial role in electric power systems for generating electrical power in various uncertain circumstances. Nonetheless, the PV systems face numerous challenges for power production in the event of partial conditions. Moreover, different types of multiple peak power points (MPPP) are generated in the characteristics of the PV system under diverse partial patterns. The MPPP's having only one global maximum peak power (GMPP) and the remaining are local peak PowerPoints (LPPP), in which LPPP are interrupted to grab maximum power. Hence, improved grey wolf optimization (I-GWO) approach is developed in this work for enriching the required power generation at partial conditions. The proposed system has been designed in the MATLAB/Simulink environment. As per the simulation findings, the suggested I-GWO demonstrates great performance with regards to tracking time, accuracy, and efficiency as compared with other studied algorithms. Institute of Physics 2022 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/35436/1/An%20improved%20grey%20wolf%20optimization%20based%20MPPT%20algorithm%20for%20photovoltaic%20systems.pdf D. J., Krishna Kishore and M. R., Mohamed and K., Sudhakar and K., Peddakapu (2022) An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions. In: Journal of Physics: Conference Series, Third International Conference on Emerging Electrical Energy, Electronics and Computing Technologies 2021 , 16-17 December 2021 , Virtual Conference. pp. 1-14., 2312 (012063). ISSN 1742-6588 (Published) https://doi.org/10.1088/1742-6596/2312/1/012063 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering D. J., Krishna Kishore M. R., Mohamed K., Sudhakar K., Peddakapu An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title | An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title_full | An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title_fullStr | An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title_full_unstemmed | An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title_short | An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions |
| title_sort | improved grey wolf optimization based mppt algorithm for photovoltaic systems under diverse partial shading conditions |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/35436/ http://umpir.ump.edu.my/id/eprint/35436/ http://umpir.ump.edu.my/id/eprint/35436/1/An%20improved%20grey%20wolf%20optimization%20based%20MPPT%20algorithm%20for%20photovoltaic%20systems.pdf |