relation: https://khub.utp.edu.my/scholars/7732/
title: Hybrid mean-variance mapping optimization for economic dispatch with multiple fuels considering valve-point effects
creator: Truong, K.H.
creator: Vasant, P.
creator: Singh, M.S.B.
creator: Vo, D.N.
description: Many thermal generating units of an electric power system are supplied with multi-fuel sources such as coal, natural gas and oil. These fuels represent irreplaceable natural resources and conservation is used as a way to increase energy efficiency. Economic dispatch (ED) is one of the significance optimization problems in power system operation for fuel cost savings. This paper proposes a new approach which is hybrid variant of mean-variance mapping optimization (MVMO-SH) for solving this problem. The MVMO-SH is the improvement of original mean-variance mapping optimization algorithm (MVMO). This method adopts a swarm scheme of MVMO and incorporates local search and multi-parent crossover strategies to enhance its global search ability and improve solution quality for optimization problems. The proposed MVMO-SH is tested on 10-unit and large-scale systems with multiple fuels and valvepoint effects. The obtained results are compared to those from other optimization methods available in the literature. The comparisons show that the proposed method provides higher quality solutions than the others. Therefore, the MVMO-SH is a promising method for solving the complex ED problems in electric power system. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.
publisher: Springer Verlag
date: 2016
type: Article
type: PeerReviewed
identifier:   Truong, K.H. and Vasant, P. and Singh, M.S.B. and Vo, D.N.  (2016) Hybrid mean-variance mapping optimization for economic dispatch with multiple fuels considering valve-point effects.  Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 168.  pp. 203-216.  ISSN 18678211     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994894080&doi=10.1007%2f978-3-319-46909-6_19&partnerID=40&md5=aa4ef724afc4f5cc305d73944003e52e
relation: 10.1007/978-3-319-46909-6₁₉
identifier: 10.1007/978-3-319-46909-6₁₉