A study of distribution network fault location including Distributed Generator based on improved genetic algorithm

Author

Youjun Yue ; Yunlei Zhao ; Hui Zhao ; Hongjun Wang

Author_Institution

Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China

Volume

2

fYear

2012

fDate

20-21 Oct. 2012

Firstpage

103

Lastpage

106

Abstract

In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.

Keywords

distributed power generation; fault location; genetic algorithms; DG; distributed generator; distributed generator power supply; distribution network fault location; distribution network fault section positioning; fitness function; genetic algorithm coding; standard genetic algorithm; Fault location; Generators; Genetic algorithms; Heuristic algorithms; Power supplies; Switches; distributed generator; fault location; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0914-1

Type

conf

DOI

10.1109/ICSSEM.2012.6340819

Filename

6340819