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

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4 Author(s)
Youjun Yue ; Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China ; Yunlei Zhao ; Hui Zhao ; Hongjun Wang

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.

Published in:

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on  (Volume:2 )

Date of Conference:

20-21 Oct. 2012