Title :
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
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;
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
DOI :
10.1109/ICSSEM.2012.6340819
