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Application of self-adaptive differential evolution algorithm to generation expansion planning problem
Joint Authors
Karthikeyan, K.
Baskar, S.
Kannan, S.
Thangaraj, C.
Source
Issue
Vol. 9, Issue 2 (30 Jun. 2013), pp.203-211, 9 p.
Publisher
Publication Date
2013-06-30
Country of Publication
Algeria
No. of Pages
9
Main Subjects
Topics
Abstract EN
Generation Expansion Planning (GEP) is one of the most important decision-making activities in electric utilities.
Least-cost GEP is to determine the minimum-cost capacity addition plan (i.e., the type and number of candidate plants) that meets forecasted demand within a pre specified reliability criterion over a planning horizon.
In this paper, Differential Evolution (DE), and Self adaptive Differential Evolution (SaDE) algorithms have been applied to the GEP problem.
The original GEP problem has been modified by incorporating Virtual Mapping Procedure (VMP).
The GEP problem of a synthetic test systems for 6-year, 14-year and 24-year planning horizons having five types of candidate units have been considered.
The results have been compared with Dynamic Programming (DP) method.
The SaDE performs well than DE algorithm.
American Psychological Association (APA)
Karthikeyan, K.& Kannan, S.& Baskar, S.& Thangaraj, C.. 2013. Application of self-adaptive differential evolution algorithm to generation expansion planning problem. Journal of Electrical Systems،Vol. 9, no. 2, pp.203-211.
https://search.emarefa.net/detail/BIM-329014
Modern Language Association (MLA)
Karthikeyan, K.…[et al.]. Application of self-adaptive differential evolution algorithm to generation expansion planning problem. Journal of Electrical Systems Vol. 9, no. 2 (Jun. 2013), pp.203-211.
https://search.emarefa.net/detail/BIM-329014
American Medical Association (AMA)
Karthikeyan, K.& Kannan, S.& Baskar, S.& Thangaraj, C.. Application of self-adaptive differential evolution algorithm to generation expansion planning problem. Journal of Electrical Systems. 2013. Vol. 9, no. 2, pp.203-211.
https://search.emarefa.net/detail/BIM-329014
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 210-211
Record ID
BIM-329014