Wind farm layout design using cuckoo search algorithm

Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms demands an efficient layout of the wind farms. This layout determines the location of each tu...

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Main Authors: Rehman, S., Ali, S.S., Adil, S.H.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30943 /
Published: SciTePress 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979626576&doi=10.5220%2f0005733002570262&partnerID=40&md5=250ab1890da0f9f2574d9500fee95235
http://eprints.utp.edu.my/30943/
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spelling utp-eprints.309432022-03-25T07:51:35Z Wind farm layout design using cuckoo search algorithm Rehman, S. Ali, S.S. Adil, S.H. Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms demands an efficient layout of the wind farms. This layout determines the location of each turbine in the wind farm. Due to its sheer complexity, the wind farm layout design problem is considered a complex optimization problem. In recent years, several attempts have been made to develop techniques and algorithms for optimization of wind farms. This paper proposes yet another optimization algorithm based on the cuckoo search (CS), which is a recent optimization method. The proposed cuckoo search algorithm is compared with genetic algorithm which is by far the highest utilized algorithm for wind farm layout design. Empirical results indicate that the proposed cuckoo search algorithm outperformed the genetic algorithm for the given test scenarios in terms of yearly power output and efficiency. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. SciTePress 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979626576&doi=10.5220%2f0005733002570262&partnerID=40&md5=250ab1890da0f9f2574d9500fee95235 Rehman, S. and Ali, S.S. and Adil, S.H. (2016) Wind farm layout design using cuckoo search algorithm. In: UNSPECIFIED. http://eprints.utp.edu.my/30943/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms demands an efficient layout of the wind farms. This layout determines the location of each turbine in the wind farm. Due to its sheer complexity, the wind farm layout design problem is considered a complex optimization problem. In recent years, several attempts have been made to develop techniques and algorithms for optimization of wind farms. This paper proposes yet another optimization algorithm based on the cuckoo search (CS), which is a recent optimization method. The proposed cuckoo search algorithm is compared with genetic algorithm which is by far the highest utilized algorithm for wind farm layout design. Empirical results indicate that the proposed cuckoo search algorithm outperformed the genetic algorithm for the given test scenarios in terms of yearly power output and efficiency. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
format Conference or Workshop Item
author Rehman, S.
Ali, S.S.
Adil, S.H.
spellingShingle Rehman, S.
Ali, S.S.
Adil, S.H.
Wind farm layout design using cuckoo search algorithm
author_sort Rehman, S.
title Wind farm layout design using cuckoo search algorithm
title_short Wind farm layout design using cuckoo search algorithm
title_full Wind farm layout design using cuckoo search algorithm
title_fullStr Wind farm layout design using cuckoo search algorithm
title_full_unstemmed Wind farm layout design using cuckoo search algorithm
title_sort wind farm layout design using cuckoo search algorithm
publisher SciTePress
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979626576&doi=10.5220%2f0005733002570262&partnerID=40&md5=250ab1890da0f9f2574d9500fee95235
http://eprints.utp.edu.my/30943/
_version_ 1741197493335490560
score 11.62408