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
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;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1469053
