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Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

1
Power Electronics, Machine and Power System Group, Aston University, Birmingham B4 7ET, UK
2
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(4), 623; https://doi.org/10.3390/en12040623
Received: 23 December 2018 / Revised: 11 February 2019 / Accepted: 13 February 2019 / Published: 15 February 2019
(This article belongs to the Section B1: Solar Energy and Photovoltaic Systems)
This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. Conventional PSO-based MPPT algorithms have common weaknesses of a long convergence time to reach the global MPP and oscillations during the searching. The proposed algorithm includes a standard PSO and a perturb-and-observe algorithm as the accelerator. It has been experimentally tested and compared with conventional MPPT algorithms. Experimental results show that the proposed MPPT method is effective in terms of high reliability, fast dynamic response, and high accuracy in tracking the global MPP. View Full-Text
Keywords: MPPT; partial shading conditions; PV; PSO; P&O MPPT; partial shading conditions; PV; PSO; P&O
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MDPI and ACS Style

Alshareef, M.; Lin, Z.; Ma, M.; Cao, W. Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions. Energies 2019, 12, 623. https://doi.org/10.3390/en12040623

AMA Style

Alshareef M, Lin Z, Ma M, Cao W. Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions. Energies. 2019; 12(4):623. https://doi.org/10.3390/en12040623

Chicago/Turabian Style

Alshareef, Muhannad, Zhengyu Lin, Mingyao Ma, and Wenping Cao. 2019. "Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions" Energies 12, no. 4: 623. https://doi.org/10.3390/en12040623

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