scholarly journals Computational Fault Time Difference-Based Fault Location Method for Branched Power Distribution Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 181972-181982 ◽  
Author(s):  
Rui Chen ◽  
Xin Yin ◽  
Xianggen Yin ◽  
Yilin Li ◽  
Jiayuan Lin
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Distribution Networks ◽  
Time Difference ◽  
Power Distribution Networks ◽  
Location Method

scholarly journals Impedance-Based Fault Location Method for Four-Wire Power Distribution Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 1342-1349 ◽  
Author(s):  
Rahman Dashti ◽  
Mohammad Daisy ◽  
Hamid Reza Shaker ◽  
Maryamsadat Tahavori
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Location Method

scholarly journals Fault Location Method Using Phasor Measurement Units and Short Circuit Analysis for Power Distribution Networks

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1294
Author(s):  
Ji-Song Hong ◽  
Gi-Do Sim ◽  
Joon-Ho Choi ◽  
Seon-Ju Ahn ◽  
Sang-Yun Yun
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Short Circuit ◽  
Distribution Networks ◽  
Circuit Analysis ◽  
Power Distribution Networks ◽  
Location Method ◽  
Measurement Units ◽  
Stage 1 ◽  
Short Circuit Analysis

This paper proposes a fault location method for power distribution networks using phasor measurement units (PMU) and short circuit analysis. In order to improve the problems of the existing studies, we focused on several approaches as follows. First, in order to minimize the number of PMU installations, a fault location estimation of lateral feeders through short circuit analysis was presented. Second, unbalanced faults and impacts of photovoltaic (PV) were considered. The proposed method consists of two stages. In Stage 1, the fault location was estimated for the main feeder using PMU installed at the start and end points of the main feeder. Symmetrical components of voltage and current variation were calculated by considering the impact of PVs interconnected to the lateral feeders. If the result of Stage 1 indicated a connection section of lateral feeder on the main feeder, Stage 2 would be performed. In Stage 2, the fault location was estimated for the lateral feeder by comparing the results of the short circuit analysis and measurements of PMUs. The short circuit analysis was based on an unbalanced power flow that considered dynamic characteristics of the PV inverter. The proposed method was verified through various fault situations in a test system. For the applicability of the proposed algorithm to the actual system, a noise test was also performed.

scholarly journals Reflected Traveling Wave Based Single-Ended Fault Location in Distribution Networks

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3917 ◽  
Author(s):  
Yangang Shi ◽  
Tao Zheng ◽  
Chang Yang
Keyword(s):  
Traveling Wave ◽  
Power Distribution ◽  
Fault Location ◽  
Single Phase ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Reflected Waves ◽  
Ground Fault ◽  
Location Methods

Traveling wave (TW)-based fault-location methods have been used to determine single-phase-to-ground fault distance in power-distribution networks. The previous approaches detected the arrival time of the initial traveling wave via single ended or multi-terminal measurements. Regarding the multi-branch effect, this paper utilized the reflected waves to obtain multiple arriving times through single ended measurement. Potential fault sections were estimated by searching for the possible traveling wave propagation paths in accordance with the structure of the distribution network. This approach used the entire propagation of a traveling wave measured at a single end without any prerequisite of synchronization, which is a must in multi-terminal measurements. The uniqueness of the fault section was guaranteed by several independent single-ended measurements. Traveling waves obtained in a real 10 kV distribution network were used to determine the fault section, and the results demonstrate the significant effectiveness of the proposed method.

scholarly journals Fault Location in Double Circuit Medium Power Distribution Networks Using an Impedance-Based Method

2018 ◽  
Vol 8 (7) ◽  
pp. 1034 ◽  
Author(s):  
Rahman Dashti ◽  
Seyed Salehizadeh ◽  
Hamid Shaker ◽  
Maryamsadat Tahavori
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Distribution Networks ◽  
Power Distribution Networks

scholarly journals Novel Faulted Section Location Method for Distribution Network Based on Status Information of Fault Indicating Equipment

2020 ◽  
Vol 10 (17) ◽  
pp. 5910
Author(s):  
Guanbin Li ◽  
Qing Chen ◽  
Jianlei Zhang
Keyword(s):  
Power Distribution ◽  
Search Algorithm ◽  
Distribution Networks ◽  
Detection Algorithm ◽  
Information Loss ◽  
Power Distribution Networks ◽  
Location Method ◽  
Line List ◽  
The Status ◽  
Status Information

This paper proposes a novel faulted section location method for power distribution networks based on the status information collected by fault-indicating equipments. It has an advantage that it does not need to analyze and calculate any electrical parameters, and it is not affected by fault types and system parameters, so this method can be easily applied to power distribution networks. Firstly, a novel method for automatically constructing a line list is proposed in this paper—it can represent the topology structure of the power distribution line and the status information of fault-indicating equipment. Based on the line list, a topology search algorithm is proposed in the method to locate the faulted section. Considering that information loss will cause errors in the line list, an information loss detection algorithm is proposed to detect and correct the wrong status of fault-indicating equipments. Then, different fault conditions such as single fault, multiple faults, distributed generations in system and information loss condition are tested in power distribution networks with different topologies, and the simulation results indicate that the proposed method can deal with each case well. Moreover, the proposed fault location method has an advantage that the running time does not necessarily increase when the node scale is expanded.

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