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一种用于配电系统的基于局部暂态的故障定位方案。

A Localized Transient-Based Fault Location Scheme for Distribution Systems.

作者信息

Bayati Navid, Mortensen Lasse Kappel, Savaghebi Mehdi, Shaker Hamid Reza

机构信息

Centre for Industrial Electronics, Department of Mechanical and Electrical Engineering, University of Southern Denmark, 6400 Sønderborg, Denmark.

Center for Energy Informatics, Maersk Mc-Kinney Møller Institute, University of Southern Denmark, 5230 Odense, Denmark.

出版信息

Sensors (Basel). 2022 Apr 1;22(7):2723. doi: 10.3390/s22072723.

DOI:10.3390/s22072723
PMID:35408336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9003271/
Abstract

Many distribution systems have several branches with only one protection system at the upstream system. This characteristic degrades the performance of traditional fault location schemes. In this paper, a localized fault location method based on the transient behavior of fault currents by using local data is proposed. The proposed scheme uses only local current and the voltage of the upstream overcurrent relay as input data of the fault location scheme. The formulation considers fault resistance, loads, and different fault locations. Furthermore, due to the usage of transient fault current data, the proposed method locates the fault within several milliseconds with a suitable range of error. To validate the effectiveness of this method, field measurement data, obtained from a real distribution system in East Jutland, Denmark operated by Dinel A/S, are used, and extensive real-time simulations are performed. The results prove that the proposed method locates different types of faults within an appropriate time and error, which can improve the maintenance and reliability of distribution systems.

摘要

许多配电系统有多个分支,而上游系统只有一个保护系统。这一特性降低了传统故障定位方案的性能。本文提出了一种基于故障电流暂态行为的局部故障定位方法,该方法利用本地数据进行故障定位。所提方案仅使用本地电流和上游过流继电器的电压作为故障定位方案的输入数据。该公式考虑了故障电阻、负载和不同的故障位置。此外,由于使用了暂态故障电流数据,所提方法能在几毫秒内将故障定位在合适的误差范围内。为验证该方法的有效性,使用了从丹麦日德兰半岛东部由迪内尔有限公司运营的实际配电系统获得的现场测量数据,并进行了广泛的实时仿真。结果证明,所提方法能在适当的时间和误差范围内定位不同类型的故障,可提高配电系统的维护水平和可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/ab950a82b242/sensors-22-02723-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/57b81bb2515a/sensors-22-02723-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/60d6d93b1128/sensors-22-02723-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/e2408bea69df/sensors-22-02723-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/8b177c1e9419/sensors-22-02723-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/916a7a8dba4d/sensors-22-02723-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/ab950a82b242/sensors-22-02723-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/6cb20d39dba9/sensors-22-02723-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/63c75454aacf/sensors-22-02723-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/a046f91a29e8/sensors-22-02723-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/daf7648e80b8/sensors-22-02723-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/57b81bb2515a/sensors-22-02723-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/60d6d93b1128/sensors-22-02723-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/e2408bea69df/sensors-22-02723-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/8b177c1e9419/sensors-22-02723-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/916a7a8dba4d/sensors-22-02723-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8744/9003271/ab950a82b242/sensors-22-02723-g012.jpg

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