A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions
Solar photovoltaic (PV) energy plays a potential role in the generation of electricity and is eco-friendly to the environment. However, PV systems face the challenge to extract maximum peak power (MPP) on the account of partial shading conditions (PSC). To encounter this problem previously various c...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/36728/1/A%20Hybrid%20peo%20based%20maximum%20power%20point%20tracking%20controller%20for%20pv%20system%20under%20partial%20shading%20conditions.pdf |
| _version_ | 1825814801227448320 |
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| author | Krishna Kishore, Dokala Janandra Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri D., Anantha koteswara Rao |
| author_facet | Krishna Kishore, Dokala Janandra Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri D., Anantha koteswara Rao |
| author_sort | Krishna Kishore, Dokala Janandra |
| collection | UMP |
| description | Solar photovoltaic (PV) energy plays a potential role in the generation of electricity and is eco-friendly to the environment. However, PV systems face the challenge to extract maximum peak power (MPP) on the account of partial shading conditions (PSC). To encounter this problem previously various conventional and soft computing based maximum power point tracking (MPPT) controllers are used to track the MPP. Nevertheless, inaccuracy occurred in the tracking of MPP, hence in this paper, a new metaheuristic hybrid method is introduced such as premature equilibrium optimizer (PEO). This PEO method acts as an MPPT controller and can track the MPP without any oscillation under PSC and has less convergence time, settling time and high efficiency. |
| first_indexed | 2024-03-06T13:03:57Z |
| format | Conference or Workshop Item |
| id | UMPir36728 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:03:57Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | UMPir367282023-01-17T06:52:07Z http://umpir.ump.edu.my/id/eprint/36728/ A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions Krishna Kishore, Dokala Janandra Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri D., Anantha koteswara Rao T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Solar photovoltaic (PV) energy plays a potential role in the generation of electricity and is eco-friendly to the environment. However, PV systems face the challenge to extract maximum peak power (MPP) on the account of partial shading conditions (PSC). To encounter this problem previously various conventional and soft computing based maximum power point tracking (MPPT) controllers are used to track the MPP. Nevertheless, inaccuracy occurred in the tracking of MPP, hence in this paper, a new metaheuristic hybrid method is introduced such as premature equilibrium optimizer (PEO). This PEO method acts as an MPPT controller and can track the MPP without any oscillation under PSC and has less convergence time, settling time and high efficiency. 2022-11-15 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36728/1/A%20Hybrid%20peo%20based%20maximum%20power%20point%20tracking%20controller%20for%20pv%20system%20under%20partial%20shading%20conditions.pdf Krishna Kishore, Dokala Janandra and Mohd Rusllim, Mohamed and Sudhakar, Kumarasamy and Peddakapu, kurukuri and D., Anantha koteswara Rao (2022) A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions. In: The 6th National Conference for Postgraduate Research (NCON-PGR 2022) , 15 November 2022 , Virtual Conference, Universiti Malaysia Pahang, Malaysia. p. 63.. (Published) https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Krishna Kishore, Dokala Janandra Mohd Rusllim, Mohamed Sudhakar, Kumarasamy Peddakapu, kurukuri D., Anantha koteswara Rao A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title | A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title_full | A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title_fullStr | A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title_full_unstemmed | A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title_short | A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions |
| title_sort | hybrid peo based maximum power point tracking controller for pv system under partial shading conditions |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/36728/1/A%20Hybrid%20peo%20based%20maximum%20power%20point%20tracking%20controller%20for%20pv%20system%20under%20partial%20shading%20conditions.pdf |
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