Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint

In this paper, quantum computing (QC) inspired particle swarm optimization (QPSO) technique is utilized to solve economic dispatch (ED) problem, which has strong, robust and reliable search capability with powerful convergence properties. Here, authors use cubic criterion function to represent ED in...

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Main Authors: Mahdi, F.P., Vasant, P., Abdullah-Al-Wadud, M., Watada, J., Kallimani, V., Fai, P.Y.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19780 /
Published: GEOMATE International Society 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018788638&doi=10.21660%2f2017.37.2742&partnerID=40&md5=24a38d53af5d9f91e80afb888bbf4143
http://eprints.utp.edu.my/19780/
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spelling utp-eprints.197802018-04-20T07:47:17Z Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint Mahdi, F.P. Vasant, P. Abdullah-Al-Wadud, M. Watada, J. Kallimani, V. Fai, P.Y.S. In this paper, quantum computing (QC) inspired particle swarm optimization (QPSO) technique is utilized to solve economic dispatch (ED) problem, which has strong, robust and reliable search capability with powerful convergence properties. Here, authors use cubic criterion function to represent ED instead of the traditional quadratic function, to make the system robust against nonlinearities of actual power generators. Power balance, power loss and generator limit constraints are considered in this research work. To show the efficiency and robustness of the proposed method, authors have compared the obtained results with other algorithms like PSO and GA for ED problem on 3-unit and 5-unit power generating systems. The obtained results demonstrate QPSO's superiority over other methods in terms of providing quality solutions with significant amount of robustness and computationally efficiency. © Int. J. of GEOMATE. GEOMATE International Society 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018788638&doi=10.21660%2f2017.37.2742&partnerID=40&md5=24a38d53af5d9f91e80afb888bbf4143 Mahdi, F.P. and Vasant, P. and Abdullah-Al-Wadud, M. and Watada, J. and Kallimani, V. and Fai, P.Y.S. (2017) Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint. International Journal of GEOMATE, 13 (7). pp. 44-50. http://eprints.utp.edu.my/19780/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper, quantum computing (QC) inspired particle swarm optimization (QPSO) technique is utilized to solve economic dispatch (ED) problem, which has strong, robust and reliable search capability with powerful convergence properties. Here, authors use cubic criterion function to represent ED instead of the traditional quadratic function, to make the system robust against nonlinearities of actual power generators. Power balance, power loss and generator limit constraints are considered in this research work. To show the efficiency and robustness of the proposed method, authors have compared the obtained results with other algorithms like PSO and GA for ED problem on 3-unit and 5-unit power generating systems. The obtained results demonstrate QPSO's superiority over other methods in terms of providing quality solutions with significant amount of robustness and computationally efficiency. © Int. J. of GEOMATE.
format Article
author Mahdi, F.P.
Vasant, P.
Abdullah-Al-Wadud, M.
Watada, J.
Kallimani, V.
Fai, P.Y.S.
spellingShingle Mahdi, F.P.
Vasant, P.
Abdullah-Al-Wadud, M.
Watada, J.
Kallimani, V.
Fai, P.Y.S.
Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
author_sort Mahdi, F.P.
title Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
title_short Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
title_full Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
title_fullStr Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
title_full_unstemmed Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
title_sort quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
publisher GEOMATE International Society
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018788638&doi=10.21660%2f2017.37.2742&partnerID=40&md5=24a38d53af5d9f91e80afb888bbf4143
http://eprints.utp.edu.my/19780/
_version_ 1741196262246449152
score 11.62408

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