Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays
"This paper presents particle swarm optimization based perturb and observe (PSO-P&O) algorithm for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic of PV will become more complex with multiple maximum power poin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4505/ http://eprints.uthm.edu.my/4505/1/AJ%202016%20%2850%29.pdf |
| _version_ | 1848888306428805120 |
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| author | Teo, Kenneth Tze Kin Pei, Yi Lim Bih, Lii Chua Hui, Hwang Goh Min, Keng Tan |
| author_facet | Teo, Kenneth Tze Kin Pei, Yi Lim Bih, Lii Chua Hui, Hwang Goh Min, Keng Tan |
| author_sort | Teo, Kenneth Tze Kin |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | "This paper presents particle swarm optimization based perturb and observe (PSO-P&O) algorithm for maximizing
output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic of PV will
become more complex with multiple maximum power points (MPP). Most of the conventional maximum power point tracking
(MPPT) algorithms, such as P&O, will be trapped at the local MPP and hence limiting the maximum power generation. As such,
investigation on PSO-P&O algorithm is carried out to maximize the PV generated power principally under PSC operation. The
performances of conventional P&O and the proposed PSO-P&O algorithms are investigated particularly on the transient and
steady state responses under various shaded conditions. The simulation results show the developed PSO- P&O algorithm is able to
facilitate the PV array to reach the global MPP and assist the PV array to produce more stable output power compared to the
conventional P&O algorithm." |
| first_indexed | 2025-11-15T20:08:11Z |
| format | Article |
| id | uthm-4505 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:08:11Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-45052021-12-07T04:28:57Z http://eprints.uthm.edu.my/4505/ Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays Teo, Kenneth Tze Kin Pei, Yi Lim Bih, Lii Chua Hui, Hwang Goh Min, Keng Tan T Technology (General) TK1001-1841 Production of electric energy or power. Powerplants. Central stations "This paper presents particle swarm optimization based perturb and observe (PSO-P&O) algorithm for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic of PV will become more complex with multiple maximum power points (MPP). Most of the conventional maximum power point tracking (MPPT) algorithms, such as P&O, will be trapped at the local MPP and hence limiting the maximum power generation. As such, investigation on PSO-P&O algorithm is carried out to maximize the PV generated power principally under PSC operation. The performances of conventional P&O and the proposed PSO-P&O algorithms are investigated particularly on the transient and steady state responses under various shaded conditions. The simulation results show the developed PSO- P&O algorithm is able to facilitate the PV array to reach the global MPP and assist the PV array to produce more stable output power compared to the conventional P&O algorithm." 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4505/1/AJ%202016%20%2850%29.pdf Teo, Kenneth Tze Kin and Pei, Yi Lim and Bih, Lii Chua and Hui, Hwang Goh and Min, Keng Tan (2016) Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays. International Journal of Simulation: Systems, Science and Technology, 17 (34). 20.1-20.7. ISSN 1473-8031 http://dx.doi.org/10.5013/IJSSST.a.17.34.20 |
| spellingShingle | T Technology (General) TK1001-1841 Production of electric energy or power. Powerplants. Central stations Teo, Kenneth Tze Kin Pei, Yi Lim Bih, Lii Chua Hui, Hwang Goh Min, Keng Tan Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title | Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title_full | Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title_fullStr | Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title_full_unstemmed | Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title_short | Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| title_sort | particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays |
| topic | T Technology (General) TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| url | http://eprints.uthm.edu.my/4505/ http://eprints.uthm.edu.my/4505/ http://eprints.uthm.edu.my/4505/1/AJ%202016%20%2850%29.pdf |