DocumentCode :
735718
Title :
Performance assessment of evolutionary algorithms in power system optimization problems
Author :
Rueda, Jose L. ; Erlich, Istvan ; Gonzalez-Longatt, Francisco
Author_Institution :
Delft University of Technology, The Netherlands
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
1
Lastpage :
5
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.
Keywords :
Algorithm design and analysis; Evolutionary computation; Heuristic algorithms; Optimization; Power systems; Pricing; Evolutionary algorithm; hydrothermal system; transmission pricing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
Type :
conf
DOI :
10.1109/PTC.2015.7232622
Filename :
7232622
Link To Document :
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