PAPER_Evolutionary Algorithms.pdf (280.34 kB)
Performance assessment of evolutionary algorithms in power system optimization problems
conference contribution
posted on 2016-03-08, 15:56 authored by Jose L. Rueda, Istvan Erlich, Francisco Gonzalez-LongattFrancisco Gonzalez-LongattDue 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 2015Citation
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
© IEEEVersion
- 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
2015Notes
© 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
9781479976935Publisher version
Language
- en
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