DocumentCode
2042613
Title
Application of genetic algorithms to transmission planning
Author
Chebbo, H.M. ; Irving, M.R.
Author_Institution
Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK
fYear
1997
fDate
2-4 Sep 1997
Firstpage
388
Lastpage
393
Abstract
A new transmission planning methodology using genetic algorithms (GAs) is proposed. This identifies the optimal transmission network over an extended time horizon based on the expected pattern of electricity demand and generation sources. A computer code has been developed and tested on a simplified UK Network model with 23 nodes and 49 possible wayleaves. Simulation tests have been subdivided into different categories according to the objective function of the optimum network. It is found that the GA model is applicable to the transmission planning problem
Keywords
power system planning; GA model; computer code; electricity demand; electricity generation sources; extended time horizon; genetic algorithms; objective function; optimal transmission network; optimum network; simplified UK Network model; transmission planning methodology; wayleaves;
fLanguage
English
Publisher
iet
Conference_Titel
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location
Glasgow
ISSN
0537-9989
Print_ISBN
0-85296-693-8
Type
conf
DOI
10.1049/cp:19971211
Filename
681057
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