Optimization a wind farm using particle swarm optimization

Increasing the efficiency of a wind farm has been considered as a highly important factor in optimizing the wind energy issues recently. Wind farms are very important sectors for wind energy producing, whether they are standalones or connected to grid. For the same number of wind turbines and the sa...

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Bibliographic Details
Main Author:	Rahmani, Rasoul
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.26888
record_format	uketd_dc
spelling	my-utm-ep.268882017-08-20T06:40:03Z Optimization a wind farm using particle swarm optimization 2010 Rahmani, Rasoul TK Electrical engineering. Electronics Nuclear engineering Increasing the efficiency of a wind farm has been considered as a highly important factor in optimizing the wind energy issues recently. Wind farms are very important sectors for wind energy producing, whether they are standalones or connected to grid. For the same number of wind turbines and the same square meters of land, the method of placing wind turbines is going to be the most important issue in optimizing the wind farm. It means that the efficiency of system can be increased by selecting the proper places for the wind turbines in a wind park, for the same amount of investment. In this paper, for the first time a particle swarm optimization (PSO) method is utilized to optimize placing of wind turbines in a wind park. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy using wind farm modeling. Extensive analysis has been carried out to prove that the proposed methodology has improved wind farm efficiency and extract more electrical power with respect to the total costs. Results from the methodology have proven that the efficiency and total output power of a wind park can be increased by using the PSO-based method as compared to the existing methods. 2010 Thesis http://eprints.utm.my/id/eprint/26888/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Optimization+a+wind+farm+using+particle+swarm+optimization&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Rahmani, Rasoul Optimization a wind farm using particle swarm optimization
description	Increasing the efficiency of a wind farm has been considered as a highly important factor in optimizing the wind energy issues recently. Wind farms are very important sectors for wind energy producing, whether they are standalones or connected to grid. For the same number of wind turbines and the same square meters of land, the method of placing wind turbines is going to be the most important issue in optimizing the wind farm. It means that the efficiency of system can be increased by selecting the proper places for the wind turbines in a wind park, for the same amount of investment. In this paper, for the first time a particle swarm optimization (PSO) method is utilized to optimize placing of wind turbines in a wind park. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy using wind farm modeling. Extensive analysis has been carried out to prove that the proposed methodology has improved wind farm efficiency and extract more electrical power with respect to the total costs. Results from the methodology have proven that the efficiency and total output power of a wind park can be increased by using the PSO-based method as compared to the existing methods.
format	Thesis
qualification_level	Master's degree
author	Rahmani, Rasoul
author_facet	Rahmani, Rasoul
author_sort	Rahmani, Rasoul
title	Optimization a wind farm using particle swarm optimization
title_short	Optimization a wind farm using particle swarm optimization
title_full	Optimization a wind farm using particle swarm optimization
title_fullStr	Optimization a wind farm using particle swarm optimization
title_full_unstemmed	Optimization a wind farm using particle swarm optimization
title_sort	optimization a wind farm using particle swarm optimization
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815535232417792

Optimization a wind farm using particle swarm optimization

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