Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays

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

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"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
Uncontrolled Keywords: photovoltaic array; partially shaded conditions; particle swarm optimization; perturb and observe; MPPT
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mrs. Mashairani Ismail
Date Deposited: 07 Dec 2021 04:28
Last Modified: 07 Dec 2021 04:28

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