DocumentCode
1545684
Title
Transmission network expansion planning under an improved genetic algorithm [discussion and closure]
Author
Rudnick, Hugh ; Palma, Rodrigo ; da Silva, E.L. ; Gil, Hugo A. ; Areiza, J.M.
Author_Institution
Dept. of Electr. Eng., Pontificia Univ. Catolica de Chile, Santiago
Volume
16
Issue
4
fYear
2001
fDate
11/1/2001 12:00:00 AM
Firstpage
930
Lastpage
931
Abstract
The authors congratulate the authors of the original paper (see ibid., Vol.18, no.3, p.1168-75, 2000) for their excellent contribution in the field of transmission expansion planning. The successful application of an improved GA (IGA) for the solution of the static transmission network expansion-planning problem is presented. In their opinion, the main contributions of this paper are the proposed and proved ideas for the IGA, related to: representation; initial population construction; crossover; and mutation mechanism. They explored these topics in the context of the dynamic transmission network expansion planning. They confirmed the importance of adequate representation of individuals that avoid invalid solutions, of an initial population based on sensitivity analysis of an initial expansion plan, and a crossover based on a decimal representation. The response of the original authors to this discussion is also included
Keywords
genetic algorithms; power transmission planning; sensitivity analysis; crossover; decimal representation; improved genetic algorithm; initial population construction; mutation mechanism; representation; sensitivity analysis; static transmission network expansion planning problem; transmission network expansion planning; Gas insulated transmission lines; Genetic algorithms; Genetic mutations; Power generation economics; Power system analysis computing; Power system economics; Power system modeling; Power system planning; Power system simulation; Sensitivity analysis;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.962451
Filename
962451
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