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Title: Performance assessment of evolutionary algorithms in power system optimization problems
Authors: Rueda, Jose L.
Erlich, Istvan
Gonzalez-Longatt, Francisco M.
Keywords: Evolutionary algorithm
Hydrothermal system
Transmission pricing
Issue Date: 2015
Publisher: © IEEE
Citation: RUEDA, J.L., ERLICH, I. and GONZALEZ-LONGATT, F.M., 2015. Performance assessment of evolutionary algorithms in power system optimization problems. IN: IEEE PowerTech 2015, Eindhoven, Netherlands, 29 June-2 July 2015, [n.p.].
Abstract: Due to the stochastic nature, there are several concerns on the effectiveness and robustness of evolutionary algorithms when applied to solve different kinds of optimization problems in power systems field. To address this issue, this paper provides a comparative analysis of several evolutionary algorithms based on parametric and non-parametric statistical tests. Numerical examples are based on hydrothermal system operation and transmission pricing optimization problems.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/PTC.2015.7232622
URI: https://dspace.lboro.ac.uk/2134/20509
Publisher Link: http://dx.doi.org/10.1109/PTC.2015.7232622
ISBN: 9781479976935
Appears in Collections:Conference Papers and Contributions (CREST)

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