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 |
| Summary: | "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." |
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