Title :
Energy loss reduction in distribution system by capacitor placement through combined GA-SA technique
Author :
Ghose, T. ; Goswami, S.K. ; Basu, S.K.
Author_Institution :
Dept. of Electr. Eng., Jadavpur Univ., Calcutta, India
Abstract :
The problem in optimal placement of capacitors is to decide on the number, locations, and sizes of capacitors to be placed at different buses of the system such that the reduction of energy losses become maximum considering the load variation and the cost of capacitors. A solution technique using combined simulated annealing and genetic algorithm is presented in this paper. The results for two test networks having 9 and 69 buses are also reported by using only GA and combined GA-SA method to prove the justification of combination
Keywords :
distribution networks; genetic algorithms; losses; power capacitors; simulated annealing; 69 bus test network; 9 bus test networ; capacitor locations; capacitor placement; capacitor size; distribution system; energy loss reduction; genetic algorithm; load variation; simulated annealing; Capacitors; Cost function; Energy loss; Genetic algorithms; Genetic mutations; Load management; Postal services; Power system simulation; Power systems; Simulated annealing;
Conference_Titel :
TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control
Conference_Location :
New Delhi
Print_ISBN :
0-7803-4886-9
DOI :
10.1109/TENCON.1998.798272
