Teo, Kenneth Tze Kin (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 1473-804X
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Abstract
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.
| Item Type: | Article |
|---|---|
| Keyword: | photovoltaic array , partially shaded conditions , particle swarm optimization , perturb and observe , MPP |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Department: | FACULTY > Faculty of Engineering |
| Depositing User: | NORAINI LABUK - |
| Date Deposited: | 17 Jul 2018 13:59 |
| Last Modified: | 17 Jul 2018 13:59 |
| URI: | https://eprints.ums.edu.my/id/eprint/20504 |
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