A General Framework for Voltage Sag Performance Analysis of Distribution Networks

The proliferation of more sensitive loads has obliged distribution companies to pay greater attention to the voltage sag mitigation potential of different design alternatives in network planning studies. In doing so, a company has to have effective tools for estimating the voltage sag performance of its network. In this regard, this paper establishes a three-step framework for evaluating voltage sag performance of a distribution network. The first step, designated as state selection, is to select a network state in which voltage sag is likely. Although voltage sags have various causes, those that originated from faults in distribution networks are considered in this paper. The stochastic nature of fault location, type, resistance, and duration as well as the response of the protection system are taken into account. The second step, called state evaluation, deals with sag characteristics during the fault clearing time and the protection system response. The third step, named index calculation, is to estimate indices reflecting the sag performance of the network. A number of indices are proposed in this paper to reflect both system and load point-oriented issues. In light of the indices, companies may find effective solutions for voltage sag mitigation and customers choose appropriate solutions to provide ride-through support for their critical processes.

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A New Method for Fault Location in Distribution Networks Based on Voltage Sag Measurements

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2020.2987892 ◽

2020 ◽

pp. 1-1

Author(s):

Ricardo Fonseca Buzo ◽

Henrique Molina Barradas ◽

Fabio Bertequini Leao

Keyword(s):

Fault Location ◽

Distribution Networks ◽

New Method ◽

Voltage Sag

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A Novel of Fault Localization Method to Determine Fault Distance for Single Line to Ground Fault in the Distribution Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.785.353 ◽

2015 ◽

Vol 785 ◽

pp. 353-357

Author(s):

L.J. Awalin ◽

Hazlie Mokhlis ◽

A.H.A. Bakar ◽

Hazlee Azil Illias

Keyword(s):

Input Data ◽

Large Scale ◽

Fault Location ◽

Distribution Network ◽

Distribution Networks ◽

Voltage Sag ◽

Test Results ◽

Localization Method ◽

Ground Fault ◽

Location Algorithm

In this paper, a novel fault location algorithm in distribution networks based on combination of impedance based method is presented. The voltage sag and current swell from the measurement node are used as input data to estimate the fault distance. To improve the accuracy of the proposed method, the voltage sag and current swell in the un-faulted phase also considered. Test results using a large scale distribution network from Malaysia confirms the accuracy of the proposed method. A comparison is made with the existing method which shows that the proposed method gives more accurate fault distance.

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Stochastic Assessment of Voltage Sag Considering the Time Characteristic of Protection System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.3160 ◽

2013 ◽

Vol 380-384 ◽

pp. 3160-3165

Author(s):

Li Pin Chen ◽

Xian Yong Xiao ◽

Yu Tao Qiu ◽

Qian Xiong

Keyword(s):

Power System ◽

System Simulation ◽

Test System ◽

Time Characteristic ◽

Assessment Model ◽

Protection System ◽

Voltage Sag ◽

Traditional Assessment ◽

Clearing Time ◽

Simulation Results

When fault occurs in power system, the duration of voltage sag is determined by the fault clearing time of the protection system. In order to describe the duration of voltage sag more accurately, the time characteristic of protection system is considered for stochastic assessment of voltage sag. Based on the traditional assessment model, the mapping relationship between the time characteristic of protection system and voltage sag frequency is established using fault positions method. The proposed method is applied to the IEEE-30 bus test system, simulation results show that the time characteristic of protection system has an obvious influence on the duration of voltage sag, and very serious errors will be produced if the time characteristic of protection system is ignored. The proposed method is simple, adaptive and practical, and it is of academic value and practical foreground.

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Non-linear representation of voltage sag profiles for fault location in distribution networks

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2010.06.020 ◽

2011 ◽

Vol 33 (1) ◽

pp. 124-130 ◽

Cited By ~ 44

Author(s):

Hazlie Mokhlis ◽

Haiyu Li

Keyword(s):

Fault Location ◽

Linear Representation ◽

Distribution Networks ◽

Voltage Sag ◽

Non Linear

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Real Fault Location in a Distribution Network Using Smart Feeder Meter Data

Energies ◽

10.3390/en14113242 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3242

Author(s):

Hamid Mirshekali ◽

Rahman Dashti ◽

Karsten Handrup ◽

Hamid Reza Shaker

Keyword(s):

Fault Location ◽

Network Reliability ◽

Distribution Network ◽

Estimation Method ◽

Electrical Energy ◽

Distribution Networks ◽

Active Power ◽

Financial Loss ◽

Smart Meters ◽

The Real

Distribution networks transmit electrical energy from an upstream network to customers. Undesirable circumstances such as faults in the distribution networks can cause hazardous conditions, equipment failure, and power outages. Therefore, to avoid financial loss, to maintain customer satisfaction, and network reliability, it is vital to restore the network as fast as possible. In this paper, a new fault location (FL) algorithm that uses the recorded data of smart meters (SMs) and smart feeder meters (SFMs) to locate the actual point of fault, is introduced. The method does not require high-resolution measurements, which is among the main advantages of the method. An impedance-based technique is utilized to detect all possible FL candidates in the distribution network. After the fault occurrence, the protection relay sends a signal to all SFMs, to collect the recorded active power of all connected lines after the fault. The higher value of active power represents the real faulty section due to the high-fault current. The effectiveness of the proposed method was investigated on an IEEE 11-node test feeder in MATLAB SIMULINK 2020b, under several situations, such as different fault resistances, distances, inception angles, and types. In some cases, the algorithm found two or three candidates for FL. In these cases, the section estimation helped to identify the real fault among all candidates. Section estimation method performs well for all simulated cases. The results showed that the proposed method was accurate and was able to precisely detect the real faulty section. To experimentally evaluate the proposed method’s powerfulness, a laboratory test and its simulation were carried out. The algorithm was precisely able to distinguish the real faulty section among all candidates in the experiment. The results revealed the robustness and effectiveness of the proposed method.

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