Particle swarm optimization for MPPT : simulation and analysis

Energy conversion efficiency of solar photovoltaic (PV) is low. Maximum Power Point Tracking (MPPT) is one of the most economical ways to increase the efficiency of solar photovoltaic . The main function of this MPPT is to ensure the maximum power output extracted from the PV array. This project is...

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Main Author:	Daud, Noor Dzulaikha
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48823/25/NoorDzulaikhaDaudMFKE2014.pdf
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id	my-utm-ep.48823
record_format	uketd_dc
spelling	my-utm-ep.488232020-06-24T03:36:26Z Particle swarm optimization for MPPT : simulation and analysis 2014-06 Daud, Noor Dzulaikha TK Electrical engineering. Electronics Nuclear engineering Energy conversion efficiency of solar photovoltaic (PV) is low. Maximum Power Point Tracking (MPPT) is one of the most economical ways to increase the efficiency of solar photovoltaic . The main function of this MPPT is to ensure the maximum power output extracted from the PV array. This project is to design Particle Swarm Optimization (PSO) algorithm as MPPT controller to extract maximum power from the PV module under normal shading conditions. The proposed technique for this project is based on the intelligence algorithm to control power output from the PV module and dc-dc power converter should be switched to obtain the maximum power output. The results show that the power oscillation at steady state is significantly diminished which can improve the PV conversion efficiency. The parameters of the PSO algorithm will be changed in order to see its tracking performance. Simulation of the PV module, PSO algorithm and dc-dc boost converter are done, using MATLAB-Simulink software. It is found that the change of PSO algorithm parameters gives the better result on the convergence speed and ability to find the optimum point. 2014-06 Thesis http://eprints.utm.my/id/eprint/48823/ http://eprints.utm.my/id/eprint/48823/25/NoorDzulaikhaDaudMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83854 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Daud, Noor Dzulaikha Particle swarm optimization for MPPT : simulation and analysis
description	Energy conversion efficiency of solar photovoltaic (PV) is low. Maximum Power Point Tracking (MPPT) is one of the most economical ways to increase the efficiency of solar photovoltaic . The main function of this MPPT is to ensure the maximum power output extracted from the PV array. This project is to design Particle Swarm Optimization (PSO) algorithm as MPPT controller to extract maximum power from the PV module under normal shading conditions. The proposed technique for this project is based on the intelligence algorithm to control power output from the PV module and dc-dc power converter should be switched to obtain the maximum power output. The results show that the power oscillation at steady state is significantly diminished which can improve the PV conversion efficiency. The parameters of the PSO algorithm will be changed in order to see its tracking performance. Simulation of the PV module, PSO algorithm and dc-dc boost converter are done, using MATLAB-Simulink software. It is found that the change of PSO algorithm parameters gives the better result on the convergence speed and ability to find the optimum point.
format	Thesis
qualification_level	Master's degree
author	Daud, Noor Dzulaikha
author_facet	Daud, Noor Dzulaikha
author_sort	Daud, Noor Dzulaikha
title	Particle swarm optimization for MPPT : simulation and analysis
title_short	Particle swarm optimization for MPPT : simulation and analysis
title_full	Particle swarm optimization for MPPT : simulation and analysis
title_fullStr	Particle swarm optimization for MPPT : simulation and analysis
title_full_unstemmed	Particle swarm optimization for MPPT : simulation and analysis
title_sort	particle swarm optimization for mppt : simulation and analysis
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48823/25/NoorDzulaikhaDaudMFKE2014.pdf
_version_	1747817480371306496

Particle swarm optimization for MPPT : simulation and analysis

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