December 2013
Intermediate to advanced
1200 pages
57h 13m
English
Content preview from Environment, Energy and Sustainable Development
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Environment, Energy and Sustainable Development – Sung, Kao & Chen (eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00053-7
A refined Genetic Algorithm for the fault sections location
Jia-Yong Zhong & Wei Xiong
State Grid Chongqing Electric Power Co., Electric Research Institute, Chongqing, China
Fu-Zhong Dan
State Grid Electric Power Research Institute, Nanjing, China
ABSTRACT: The fault sections location in distribution networks based on the information of the short
circuit current may get false results due to the signals’ distortion. So the Genetic Algorithm (GA) is
proposed for its high fault-tolerance performance. But the construction of the fitness function is a main
bottleneck for the application of GA in the fault sections ...