Fault location in the distribution network based on power system status estimation with smart meters data

被引:10
|
作者
Dashtdar, Masoud [1 ]
Hosseinimoghadam, Seyed Mohammad Sadegh [1 ]
Dashtdar, Majid [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Bushehr Branch, Bushehr, Iran
关键词
distributed generation; distribution network; fault location; power flow; smart meter; ALGORITHM;
D O I
10.1515/ijeeps-2020-0126
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to the existence of different branches in the electricity distribution network and only available voltage and current information at the beginning of the line and lack of access to the information at the end of the network line, the detection of the faulted section in the distribution network has become more important. Today, smart meters are used to measure the voltage and current of network lines, but due to the limitations of the installation sites, these devices are not possible in all network lines. In this paper, two techniques have been used to identify the faulted section and fault location in the network so that the fault distance at the beginning of the line can be estimated by estimating the current at the end of each network line. Therefore, in this project, by installing smart meters in the main branch of the network and also the information obtained from power flow in the network normal mode, it has been tried to practically estimate the voltage and current at the beginning and end of each distribution network line. In this method, more power flow is used to calculate the voltage drop of the lines and estimate the voltage and current at the end of the network lines so that the faulted part can be identified. Finally, the proposed method is implemented on the IEEE_15, 37 bus networks, the results of which show the proper performance of the proposed method in estimating location and Fault resistance for different types of faults in the distribution network.
引用
收藏
页码:129 / 147
页数:19
相关论文
共 50 条
  • [21] Artificial neural-network-based fault location for power distribution lines using the frequency spectra of fault data
    Aslan, Yilmaz
    Yagan, Yunus Emre
    [J]. ELECTRICAL ENGINEERING, 2017, 99 (01) : 301 - 311
  • [22] Allocation of Power Meters for Online Load Distribution Estimation in Smart Grids
    Kouzelis, Konstantinos
    Mendaza, Iker Diaz De Cerio
    Bak-Jensen, Birgitte
    Pillai, Jayakrishnan R.
    Bhattarai, Bishnu Prasad
    [J]. 2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2015,
  • [23] The Implementation of Smart Meters for Electric Grid Improvements and Reliable Power Flow Data on Electrical Power Distribution Network
    Ndaba, Sindi
    Davidson, Innocent E.
    [J]. 2020 IEEE PES & IAS POWERAFRICA CONFERENCE, 2020,
  • [24] Fault Location Algorithm Based on Probe in Electric Power Data Network
    Gong, Xiaohan
    Wang, Kaixuan
    Guo, Shaoyong
    Xiong, Ao
    [J]. 2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS, 2015, : 542 - 545
  • [25] Fault location estimation for distribution system using simulated voltage sags data
    Mokhlis, H.
    Li, H. Y.
    [J]. 2007 42ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1-3, 2007, : 242 - 247
  • [26] Fault location in radial distribution systems based on decision trees and optimized allocation of power quality meters
    da Silva Pessoa, Andre Luis
    Oleskovicz, Mario
    [J]. 2017 IEEE MANCHESTER POWERTECH, 2017,
  • [27] Power Network Fault Location Based on Voltage Magnitude Measurements and Sparse Estimation
    Zhu, Yuxuan
    Jia, Yixiong
    Liu, Yu
    Lu, Dayou
    [J]. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [28] Fast Fault Detection and Location System for Distribution Network Lines Based on Power Electronic Disturbance Signals
    Zhang, Chao
    Liu, Zhaodong
    Wang, Jiandong
    Wang, Zhen
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2021, 30 (10)
  • [29] Fault Location Method in Complex Power Network Based on Power Quality Monitoring Data
    Lan Jian
    Wang Dongxu
    Zheng Xue
    Liu Kaipei
    Yang Caixia
    [J]. THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 1320 - +
  • [30] A data-driven fault location method in distribution network based on PMU data
    Fang, Jian
    Wang, Hongbin
    Yang, Fan
    Wang, Yong
    Yin, Kuang
    He, Jiaxing
    Lin, Xiang
    [J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2022, 17 (03) : 325 - 334