DocumentCode :
3105447
Title :
Reconfiguration of deregulated distribution network for minimizing energy supply cost by using BGA
Author :
Kargar, H. Kazemi ; Jalilzadeh, S. ; Rezazadeh, A. ; Nabi, V. ; Govar, G. Zaree
Author_Institution :
Electr. & Comput. Dept., Shahid Beheshti Univ., Tehran
fYear :
2008
fDate :
1-4 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
One of the main concerns of market entities is minimizing the energy supply cost. In this paper, an objective function for reducing the energy supply cost by DisCo will be proposed. The optimization method is based on binary genetic algorithm (BGA) for the reconfiguration of deregulated distribution networks. In addition, a case study will be analyzed and the obtained results will show that the total energy supply cost will effectively reduce.
Keywords :
cost reduction; distribution networks; genetic algorithms; power markets; BGA; binary genetic algorithm; deregulated distribution network; energy supply cost minimisation; power market entities; Computer networks; Contracts; Cost function; Distributed computing; Genetic algorithms; Mathematical model; Optimization methods; Power markets; Power system modeling; Power systems; BGA; Deregulated Distribution Network; Minimizing Cost; Reconfiguration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location :
Padova
Print_ISBN :
978-1-4244-3294-3
Electronic_ISBN :
978-88-89884-09-6
Type :
conf
DOI :
10.1109/UPEC.2008.4651545
Filename :
4651545
Link To Document :
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