Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization
This paper presents the particle swarm optimization based maximum power point tracking (MPPT) approach for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic becomes more complex with multiple maximum power points (MPP). Mos...
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| Format: | Proceedings |
| Language: | English English |
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Institute of Electrical and Electronics Engineers
2014
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| Online Access: | https://eprints.ums.edu.my/id/eprint/31889/1/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31889/2/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.pdf |
| _version_ | 1825714591873630208 |
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| author | Teo, Kenneth Tze Kin Lim, Pei Yi Chua, Bih Lii Goh, Hui Hwang Tan, Min Keng |
| author_facet | Teo, Kenneth Tze Kin Lim, Pei Yi Chua, Bih Lii Goh, Hui Hwang Tan, Min Keng |
| author_sort | Teo, Kenneth Tze Kin |
| collection | UMS |
| description | This paper presents the particle swarm optimization based maximum power point tracking (MPPT) approach for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic becomes more complex with multiple maximum power points (MPP). Most of the conventional MPPT approaches will be trapped at the local MPP and hence limiting the maximum power generation. As such, the investigation on particle swarm optimization (PSO) based MPPT is carried out to maximize the PV generated power principally under PSC operation. The performances of conventional MPPT approach and the proposed PSO-MPPT are investigated particularly on the transient and steady state responses under various shaded conditions. The simulation results show that the PSO-MPPT is able to facilitate the PV array to reach the global MPP as well as to assist the PV array to produce more stable output power compared to the conventional perturb and observe (P&O) algorithm. |
| first_indexed | 2024-03-06T03:14:06Z |
| format | Proceedings |
| id | ums.eprints-31889 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:14:06Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | ums.eprints-318892022-03-18T01:23:10Z https://eprints.ums.edu.my/id/eprint/31889/ Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization Teo, Kenneth Tze Kin Lim, Pei Yi Chua, Bih Lii Goh, Hui Hwang Tan, Min Keng QA1-939 Mathematics TK1001-1841 Production of electric energy or power. Powerplants. Central stations This paper presents the particle swarm optimization based maximum power point tracking (MPPT) approach for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic becomes more complex with multiple maximum power points (MPP). Most of the conventional MPPT approaches will be trapped at the local MPP and hence limiting the maximum power generation. As such, the investigation on particle swarm optimization (PSO) based MPPT is carried out to maximize the PV generated power principally under PSC operation. The performances of conventional MPPT approach and the proposed PSO-MPPT are investigated particularly on the transient and steady state responses under various shaded conditions. The simulation results show that the PSO-MPPT is able to facilitate the PV array to reach the global MPP as well as to assist the PV array to produce more stable output power compared to the conventional perturb and observe (P&O) algorithm. Institute of Electrical and Electronics Engineers 2014-12 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31889/1/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31889/2/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.pdf Teo, Kenneth Tze Kin and Lim, Pei Yi and Chua, Bih Lii and Goh, Hui Hwang and Tan, Min Keng (2014) Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization. https://ieeexplore.ieee.org/document/7351842?arnumber=7351842 |
| spellingShingle | QA1-939 Mathematics TK1001-1841 Production of electric energy or power. Powerplants. Central stations Teo, Kenneth Tze Kin Lim, Pei Yi Chua, Bih Lii Goh, Hui Hwang Tan, Min Keng Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title | Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title_full | Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title_fullStr | Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title_full_unstemmed | Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title_short | Maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| title_sort | maximum power point tracking of partially shaded photovoltaic arrays using particle swarm optimization |
| topic | QA1-939 Mathematics TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| url | https://eprints.ums.edu.my/id/eprint/31889/1/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31889/2/Maximum%20power%20point%20tracking%20of%20partially%20shaded%20photovoltaic%20arrays%20using%20particle%20swarm%20optimization.pdf |
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