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Performance assessment of evolutionary algorithms in power system optimization problems

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conference contribution
posted on 08.03.2016 by Jose L. Rueda, Istvan Erlich, Francisco Gonzalez-Longatt
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

2015 IEEE Eindhoven PowerTech, PowerTech 2015

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.].

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

© 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.

ISBN

9781479976935

Language

en

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