A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems

Muhannad Alshareef, Zhengyu Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a modified particle swarm optimization (MPSO) based Maximum Power Point Tracking (MPPT) method for PV system, which integrates fractional open circuit voltage (FOCV) method. The proposed algorithm uses FOCV principle to resolve the issues faced by conventional particle swarm optimization (PSO) based MPPT method, by initializing the particles nearby the global maximum power point (MPP). The proposed algorithm is highly robust and has good dynamic response. MATLAB/ SIMULINK based simulation study was conducted and subsequently, an experimental setup was developed to verify the effectiveness of the proposed method, and the results were compared with conventional PSO based MPPT algorithm, as well as the Perturb and Observe (P&O) MPPT method.
Original languageEnglish
Title of host publication2018 53rd International Universities Power Engineering Conference (UPEC)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-5386-2910-9
ISBN (Print)978-1-5386-2911-6
DOIs
Publication statusPublished - 13 Dec 2018
Event2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom
Duration: 4 Sep 20187 Sep 2018

Conference

Conference2018 53rd International Universities Power Engineering Conference (UPEC)
Period4/09/187/09/18

Fingerprint

Particle swarm optimization (PSO)
Open circuit voltage
MATLAB
Dynamic response

Cite this

Alshareef, M., & Lin, Z. (2018). A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems. In 2018 53rd International Universities Power Engineering Conference (UPEC) IEEE. https://doi.org/10.1109/UPEC.2018.8542065
Alshareef, Muhannad ; Lin, Zhengyu. / A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems. 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, 2018.
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Alshareef, M & Lin, Z 2018, A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems. in 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, 2018 53rd International Universities Power Engineering Conference (UPEC), 4/09/18. https://doi.org/10.1109/UPEC.2018.8542065

A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems. / Alshareef, Muhannad; Lin, Zhengyu.

2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper presents a modified particle swarm optimization (MPSO) based Maximum Power Point Tracking (MPPT) method for PV system, which integrates fractional open circuit voltage (FOCV) method. The proposed algorithm uses FOCV principle to resolve the issues faced by conventional particle swarm optimization (PSO) based MPPT method, by initializing the particles nearby the global maximum power point (MPP). The proposed algorithm is highly robust and has good dynamic response. MATLAB/ SIMULINK based simulation study was conducted and subsequently, an experimental setup was developed to verify the effectiveness of the proposed method, and the results were compared with conventional PSO based MPPT algorithm, as well as the Perturb and Observe (P&O) MPPT method.

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Alshareef M, Lin Z. A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems. In 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE. 2018 https://doi.org/10.1109/UPEC.2018.8542065