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A novel fault classification method based on neural network in smart grid
Zhang, Tong; Sun LX(孙兰香); Liu JC(刘建昌); Yu HB(于海斌)
作者部门工业控制网络与系统研究室
关键词Smart Grid Fault Classification Bp Neural Network Phasor Measurement
发表期刊International Journal of Electrical Engineering
ISSN1812-3031
2018
卷号25期号:1页码:1-7
收录类别EI
EI收录号20180504694792
产权排序2
摘要

This paper presents a back propagation (BP) neural network method to identify fault types and phases in the smart grid with renewable sources. A fault classification method based on the BP neural network is used to identify patterns of voltage and current measured with phasor measurement unit (PMU). The voltage and current values are decomposed, and then they are used as the input matrix of the BP neural network, which identifies the fault type and fault phasor. All the common short-circuit faults occurred are analyzed, BP neural network method is proposed for fault classification in a power active distribution network. Simulation results show feasibility and usefulness of the BP neural network method, which provides good classification performances.

语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/21524
专题工业控制网络与系统研究室
通讯作者Sun LX(孙兰香)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
4.Key Laboratory of Networked Control System, CAS, Shenyang, China
5.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Zhang, Tong,Sun LX,Liu JC,et al. A novel fault classification method based on neural network in smart grid[J]. International Journal of Electrical Engineering,2018,25(1):1-7.
APA Zhang, Tong,Sun LX,Liu JC,&Yu HB.(2018).A novel fault classification method based on neural network in smart grid.International Journal of Electrical Engineering,25(1),1-7.
MLA Zhang, Tong,et al."A novel fault classification method based on neural network in smart grid".International Journal of Electrical Engineering 25.1(2018):1-7.
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