DocumentCode :
3486583
Title :
Optimal feeder routing and optimal substation sizing and placement using guided evolutionary simulated annealing
Author :
Bouchard, D.E. ; Salama, M.M.A. ; Chikhani, A.Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
2
fYear :
1995
fDate :
5-8 Sep 1995
Firstpage :
688
Abstract :
This paper investigates the application of guided evolutionary simulated annealing to the problem of optimal substation size and placement, and the optimal routing of power distribution feeders. The principles of guided evolutionary simulated annealing are discussed and a model proposed for solution of the problem. The success of the method is demonstrated through computer simulations
Keywords :
distribution networks; power system analysis computing; power system planning; simulated annealing; substations; computer simulation; feeder routing; guided evolutionary simulated annealing; optimal placement; optimal sizing; power distribution feeders; power systems; substation planning; Biology computing; Computational modeling; Computer simulation; Cost function; Counting circuits; Evolution (biology); Military computing; Routing; Simulated annealing; Substations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
ISSN :
0840-7789
Print_ISBN :
0-7803-2766-7
Type :
conf
DOI :
10.1109/CCECE.1995.526297
Filename :
526297
Link To Document :
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