DocumentCode :
1206928
Title :
Optimal selection of capacitors for radial distribution systems using a genetic algorithm
Author :
Sundhararajan, Srinivasan ; Pahwa, Anil
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Volume :
9
Issue :
3
fYear :
1994
fDate :
8/1/1994 12:00:00 AM
Firstpage :
1499
Lastpage :
1507
Abstract :
In this paper, a new design methodology for determining the size, location, type and number of capacitors to be placed on a radial distribution system is presented. The objective is to minimize the peak power losses and the energy losses in the distribution system considering the capacitor cost. A sensitivity analysis based method is used to select the candidate locations for the capacitors. A new optimization method using a genetic algorithm is proposed to determine the optimal selection of capacitors. Test results have been presented along with the discussion of the algorithm
Keywords :
compensation; distribution networks; genetic algorithms; power capacitors; sensitivity analysis; capacitor cost; capacitor size; capacitors location; energy losses; genetic algorithm; optimal selection; optimization method; peak power losses; radial distribution systems; sensitivity analysis; Capacitors; Constraint optimization; Cost function; Design methodology; Energy loss; Genetic algorithms; Optimization methods; Sensitivity analysis; Testing; Voltage;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.336111
Filename :
336111
Link To Document :
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