Power Network Fault Location Based on Voltage Magnitude Measurements and Sparse Estimation

doi:10.1109/PESGM52003.2023.10253187

	Power Network Fault Location Based on Voltage Magnitude Measurements and Sparse Estimation
	Yuxuan Zhu1 ; Yixiong Jia 2; Yu Liu1 ; Dayou Lu1
	2023
会议录名称	2023 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)
ISSN	1944-9925
卷号	2023-July
发表状态	已发表
DOI	10.1109/PESGM52003.2023.10253187
摘要	In this paper, an improved fault location method based on magnitude measurements of voltages and sparse estimation is proposed for power networks. Compared to existing sparse estimation based fault location methods, the proposed method not only retains the advantages of sparse estimation, but also avoids the complexity of PMU installation. In this paper, the influence of fault current on the bus voltages is equivalently represented by the bus injection currents at terminals of the faulted line. With only the voltage magnitude measurements, the FISTA algorithm is adjusted to match the characteristics of the sparse estimation problem and is applied to solve for fault location. Extensive numerical experiments with different fault types, impedances and locations prove that the proposed method can accurately determine the faulted line section with a large power network, and presents high fault location accuracy within the faulted line section using only voltage magnitude measurements at a limited number of buses. © 2023 IEEE.
关键词	Fault location power network sparse estimation voltage magnitude measurements
会议名称	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
会议地点	Orlando, FL, USA
会议日期	16-20 July 2023
URL	查看原文
收录类别	EI
语种	英语
出版者	IEEE Computer Society
EI入藏号	20234314959093
EI主题词	Numerical methods
EISSN	1944-9933
EI分类号	703.1.1 Electric Network Analysis ; 706.2 Electric Power Lines and Equipment ; 921.6 Numerical Methods
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/286412
专题	信息科学与技术学院信息科学与技术学院_PI研究组_刘宇组信息科学与技术学院_本科生信息科学与技术学院_博士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Yuxuan Zhu,Yixiong Jia,Yu Liu,et al. Power Network Fault Location Based on Voltage Magnitude Measurements and Sparse Estimation[C]:IEEE Computer Society,2023.