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