eprintid: 8329
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/83/29
datestamp: 2023-11-09 16:20:13
lastmod: 2023-11-09 16:20:13
status_changed: 2023-11-09 16:12:23
type: article
metadata_visibility: show
creators_name: Khoa, T.H.
creators_name: Vasant, P.M.
creators_name: Singh, B.S.M.
creators_name: Dieu, V.N.
title: Hybrid mean-variance mapping optimization for non-convex economic dispatch problems
ispublished: pub
keywords: Fuels; Genetic algorithms; Mapping; Scheduling, Economic Dispatch; Mapping optimization; Multiple fuels; Prohibited operating zone; Valve point effects, Electric load dispatching
note: cited By 0
abstract: The economic dispatch (ED) is one of the important optimization problems in power system generation for fuel cost saving. This paper proposes a hybrid variant of mean-variance mapping optimization (MVMO-SH) for solving such problem considering the non-convex objective functions. The new proposed method is a hybrid variant of the original mean-variance mapping optimization algorithm (MVMO) with the embedded local search and multi-parent crossover to enhance its global search ability and improve solution quality for optimization problems. The proposed MVMO-SH is tested on different non-convex ED problem including valve point effects, multiple fuels and prohibited operating zones characteristics. The result comparisons from the proposed method with other methods in the literature have indicated that the proposed method is more robust and provides better solution quality than the others. Therefore, the proposed MVMO-SH is a promising method for solving the complex ED problems in power systems. © 2017, IGI Global.
date: 2017
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048480523&doi=10.4018%2fIJSIR.2017100103&partnerID=40&md5=9d94340213630ca17dbb0130d5c10a42
id_number: 10.4018/IJSIR.2017100103
full_text_status: none
publication: International Journal of Swarm Intelligence Research
volume: 8
number: 4
pagerange: 34-59
refereed: TRUE
issn: 19479263
citation:   Khoa, T.H. and Vasant, P.M. and Singh, B.S.M. and Dieu, V.N.  (2017) Hybrid mean-variance mapping optimization for non-convex economic dispatch problems.  International Journal of Swarm Intelligence Research, 8 (4).  pp. 34-59.  ISSN 19479263