DocumentCode
439007
Title
Fault section diagnosis of distribution network based on improved genetic algorithm
Author
Yalin, Liu ; Junji, Wu ; Wei, Yang ; Junfang, Zhang
Author_Institution
Sch. of Power Eng., Nanjing Univ. of Sci. & Technol., China
Volume
2
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
1406
Abstract
In connection with the disadvantages of traditional fault current identification method, a fault section diagnosis program of distribution network based on improved genetic algorithm is presented. The algorithm can identify the network´s topology automatically and research some improved mechanisms such as fitness function, GA operators and parameters and so on. The algorithm has high efficiency and fault-tolerance and it is proved in three groups simulation tests.
Keywords
distribution networks; fault diagnosis; genetic algorithms; identification; power engineering computing; distribution network; fault current identification method; fault section diagnosis; fitness function; genetic algorithm; Biological cells; Circuit faults; Circuit testing; Fault currents; Fault diagnosis; Fault tolerance; Genetic algorithms; Network topology; Protection; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1469053
Filename
1469053
Link To Document