Performance assessment of evolutionary algorithms in power system optimization problems

Rueda, Jose L.; Erlich, Istvan; Gonzalez-Longatt, Francisco

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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-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

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

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