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Distribution Network Fault Location Based on Electromagnetism-Like Mechanism Combined with Genetic Algorithm

Meie Shen1, Minfang Peng2, Tao Liu2 , Liang Zhu3, Hongwei Che3, Zhengyi Liu3, and Jianbiao He4
1.College of Computer Science, Beijing University of Information Science and Technology, Beijing, China
2.College of Electrical and Information Engineering, Hunan University, Changsha, China
3.Hunan Province Electric Power Company, Changsha, China
4.School of Information Science & Engineering, Central South Uinversity, Changsha, China
Abstract—This paper dealt with fault location for distribution networks based on Electromagnetism-like Mechanism Algorithm. Considering that the fault location based on EM is actually constraint optimization with 0-1 discrete constraint often falling into the local optimum, an improved EM algorithm is proposed by combining EM with genetic algorithm. Furthermore, it is employed to perform fault location for distribution networks with multiple power sources. The distribution network is divided into several parts with the positive direction and the mathematical model for fault location is built. The simulation results show that the proposed approach has satisfactory accuracy and availability.

Index Terms—distribution network, fault location, electromagnetism-like mechanism algorithm, genetic algorithm

Cite: Meie Shen, Minfang Peng, Tao Liu, Liang Zhu, Hongwei Che, Zhengyi Liu, and Jianbiao He, "Distribution Network Fault Location Based on Electromagnetism-Like Mechanism Combined with Genetic Algorithm," Lecture Notes on Information Theory, Vol. 2, No. 2, pp. 146-150, June 2014. doi: 10.12720/lnit.2.2.146-150
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