Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects

Mean-variance mapping optimization (MVMO) is a novel population-based meta-heuristic technique which has been successfully applied for different power system optimization problems. The special feature of MVMO is the mapping function applied for the mutation based on the mean and variance of n-best p...

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Main Authors: Khoa, T.H., Vasant, P.M., Singh, M.S.B., Dieu, V.N.
Format: Conference or Workshop Item
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988221494&doi=10.1109%2fIEEM.2014.7058600&partnerID=40&md5=dad93141f915b62f99048888a2079042
http://eprints.utp.edu.my/31705/
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spelling my.utp.eprints.317052022-03-29T03:35:19Z Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects Khoa, T.H. Vasant, P.M. Singh, M.S.B. Dieu, V.N. Mean-variance mapping optimization (MVMO) is a novel population-based meta-heuristic technique which has been successfully applied for different power system optimization problems. The special feature of MVMO is the mapping function applied for the mutation based on the mean and variance of n-best population. Recently, the modified version of MVMO has been developed to get more powerful, named as Swarm based Mean-variance mapping optimization (MVMOs). This paper proposes MVMOs as a new approach for solving the economic dispatch problem considering valve-point effects. To demonstrate the performance of the proposed method, the proposed MVMOs has been tested on two systems including 3 and 13 thermal generating units with valve-point effects and the obtained results from MVMOs have been compared to those from other existing methods in the literature. It is indicated that the proposed MVMOs is efficient for solving the economic dispatch with valve-point effects. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988221494&doi=10.1109%2fIEEM.2014.7058600&partnerID=40&md5=dad93141f915b62f99048888a2079042 Khoa, T.H. and Vasant, P.M. and Singh, M.S.B. and Dieu, V.N. (2014) Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects. In: UNSPECIFIED. http://eprints.utp.edu.my/31705/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Mean-variance mapping optimization (MVMO) is a novel population-based meta-heuristic technique which has been successfully applied for different power system optimization problems. The special feature of MVMO is the mapping function applied for the mutation based on the mean and variance of n-best population. Recently, the modified version of MVMO has been developed to get more powerful, named as Swarm based Mean-variance mapping optimization (MVMOs). This paper proposes MVMOs as a new approach for solving the economic dispatch problem considering valve-point effects. To demonstrate the performance of the proposed method, the proposed MVMOs has been tested on two systems including 3 and 13 thermal generating units with valve-point effects and the obtained results from MVMOs have been compared to those from other existing methods in the literature. It is indicated that the proposed MVMOs is efficient for solving the economic dispatch with valve-point effects. © 2014 IEEE.
format Conference or Workshop Item
author Khoa, T.H.
Vasant, P.M.
Singh, M.S.B.
Dieu, V.N.
spellingShingle Khoa, T.H.
Vasant, P.M.
Singh, M.S.B.
Dieu, V.N.
Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
author_facet Khoa, T.H.
Vasant, P.M.
Singh, M.S.B.
Dieu, V.N.
author_sort Khoa, T.H.
title Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
title_short Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
title_full Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
title_fullStr Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
title_full_unstemmed Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects
title_sort swarm based mean-variance mapping optimization (mvmos) for economic dispatch problem with valve-point effects
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988221494&doi=10.1109%2fIEEM.2014.7058600&partnerID=40&md5=dad93141f915b62f99048888a2079042
http://eprints.utp.edu.my/31705/
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score 13.211869