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

Muhannad Alshareef; Zhengyu Lin

doi:10.1109/UPEC.2018.8542065

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

Muhannad Alshareef, Zhengyu Lin

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	2018 53rd International Universities Power Engineering Conference (UPEC)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-5386-2910-9
ISBN (Print)	978-1-5386-2911-6
DOIs	https://doi.org/10.1109/UPEC.2018.8542065
Publication status	Published - 13 Dec 2018
Event	2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom Duration: 4 Sept 2018 → 7 Sept 2018

Conference

Conference	2018 53rd International Universities Power Engineering Conference (UPEC)
Period	4/09/18 → 7/09/18

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10.1109/UPEC.2018.8542065

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@inproceedings{e8c59b85d0554974b2bb1fe14f982559,

title = "A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems",

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.",

author = "Muhannad Alshareef and Zhengyu Lin",

year = "2018",

month = dec,

day = "13",

doi = "10.1109/UPEC.2018.8542065",

language = "English",

isbn = "978-1-5386-2911-6",

booktitle = "2018 53rd International Universities Power Engineering Conference (UPEC)",

publisher = "IEEE",

address = "United States",

note = "2018 53rd International Universities Power Engineering Conference (UPEC) ; Conference date: 04-09-2018 Through 07-09-2018",

}

TY - GEN

T1 - A Modified Particle Swarm Optimization based Maximum Power Point Tracking for PV Systems

AU - Alshareef, Muhannad

AU - Lin, Zhengyu

PY - 2018/12/13

Y1 - 2018/12/13

N2 - 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.

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.

UR - https://ieeexplore.ieee.org/document/8542065/

U2 - 10.1109/UPEC.2018.8542065

DO - 10.1109/UPEC.2018.8542065

M3 - Conference publication

SN - 978-1-5386-2911-6

BT - 2018 53rd International Universities Power Engineering Conference (UPEC)

PB - IEEE

T2 - 2018 53rd International Universities Power Engineering Conference (UPEC)

Y2 - 4 September 2018 through 7 September 2018

ER -

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

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