scholarly journals Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1145 ◽  
Author(s):  
Ehsan Gord ◽  
Rahman Dashti ◽  
Mojtaba Najafi ◽  
Hamid Reza Shaker
Keyword(s):  
Energy Distribution ◽  
Distribution Systems ◽  
Fault Location ◽  
Electric Energy ◽  
Transient State ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Component Analysis ◽  
Frequency Component ◽  
Network Simulator

: Fault location in electrical energy distribution networks is an important task, as faults in distribution grids are among the main causes of electricity supply disruption. Fault location in the distribution systems, however, is a challenging task because of the topology of the distribution networks, as well as the main and side branches. Therefore, it is necessary to address these challenges through an intelligent approach to fault location. In this paper, fault location in electric energy distribution networks is addressed considering the changes in fault distance and fault resistance in the presence of different fault types. A new method for fault location is developed for conditions where the minimum information is available and only information at the beginning of the feeder is used. This facilitates wide adoption of the technique as it does not require significant investments in instrumentation and measurement. The proposed intelligent method is based on the impedance and transient state estimation. This technique employs a specific impedance analysis for determining possible fault locations considering the unbalanced performance of distribution systems, distances, and different fault resistances. To determine the real faulty section, real fault frequency component analysis and the simulated faults at possible fault locations are used. At this stage of the process, it is possible to eliminate multiple estimations with the help of comparison and identification of the similarities. Therefore, a real faulty section is determined. It is observed that some conditions of electric energy distribution networks affect the accuracy and performance of the proposed method significantly; thus, a detailed investigation is conducted to neutralize these conditions. Simulation results and calculations based on MATLAB along with a practical test of the proposed method in power network simulator confirm a satisfactory performance.

Determining an accurate fault location in electrical energy distribution networks in the presence of DGs using transient analysis

Measurement ◽  
2020 ◽  
Vol 151 ◽  
pp. 107270 ◽  
Author(s):  
Ehsan Gord ◽  
Rahman Dashti ◽  
Mojtaba Najafi ◽  
Athila Quaresma Santos ◽  
Hamid Reza Shaker
Keyword(s):  
Energy Distribution ◽  
Transient Analysis ◽  
Fault Location ◽  
Electrical Energy ◽  
Distribution Networks

scholarly journals Traveling-Wave Based Fault Location for Phase-to-Ground Fault in Non-Effectively Earthed Distribution Networks

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5028
Author(s):  
Yani Wang ◽  
Tao Zheng ◽  
Chang Yang ◽  
Li Yu
Keyword(s):  
Traveling Waves ◽  
Traveling Wave ◽  
Wavelet Decomposition ◽  
Distribution Systems ◽  
Fault Location ◽  
Distribution Networks ◽  
Frequency Component ◽  
Time Frequency ◽  
Ground Fault ◽  
Measurement Units

This paper presents a multi-terminal traveling-wave-based fault location method for phase-to-ground fault in non-effectively earthed distribution systems. To improve the accuracy of fault location, a two-terminal approach is used to identify the faulty branch and a single-ended approach is followed to determine the fault distance based on the arrival time of reflected traveling waves. Wavelet decomposition is employed to extract the time-frequency component of the aerial-mode traveling waves. Magnitude and polarity of the wavelet coefficients are used to estimate the fault distance starting from the propagation fault point to the branch terminal. In addition, the network is divided into several sub-networks in order to reduce the number of measurement units. The effectiveness of this approach is demonstrated by simulations considering the phase-to-ground fault that happens at different positions in the distribution network.

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

Energies ◽  
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.

scholarly journals Electric systems failures produced by CG lightning in Eastern Amazonia

2014 ◽  
Vol 29 (spe) ◽  
pp. 31-40 ◽  
Author(s):  
Ana Paula Paes dos Santos ◽  
José Ricardo Santos de Souza ◽  
Everaldo Barreiros de Souza ◽  
Alexandre de Melo Casseb do Carmo ◽  
Wanda Maria do Nascimento Ribeiro
Keyword(s):  
Energy Distribution ◽  
Transmission Lines ◽  
Distribution Systems ◽  
Electric Energy ◽  
Electricity Distribution ◽  
Power Outages ◽  
Lightning Strikes ◽  
Area Of Interest ◽  
The Pacific ◽  
Cg Lightning

Operational records of power outages of the electric energy distribution systems in eastern Amazonia presented a large number of events attributed to lightning strikes, during the 2006 to 2009 period. The regional electricity concessionary data were compared to actual lightning observations made by SIPAM's LDN system, over two areas where operational sub systems of transmission lines are installed. Statistical relations were drawn between the monthly lightning occurrence density and the number of power outages of the electric systems for both areas studied. The results showed that, although with some delays between these variables peaks, the number of power disruptions has a tendency to follow the behavior of the lightning occurrence densities variations. The numerical correlations were positive and may be useful to the transmission lines maintenance crews at least for the Belém-Castanhal electricity distribution sub system. Evidence was found, that the SST's over certain areas of the Pacific and Atlantic Oceans, influence convection over the area of interest, and may help to prognosticate the periods of intense electric storms, requiring repair readiness for the regional electric systems.

scholarly journals Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks

2018 ◽  
Vol 8 (9) ◽  
pp. 1563 ◽  
Author(s):  
Cesar Orozco-Henao ◽  
Arturo Suman Bretas ◽  
Juan Marín-Quintero ◽  
Andres Herrera-Orozco ◽  
Juan Pulgarín-Rivera ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Fault Location ◽  
Real Life ◽  
Distribution Networks ◽  
Maximum Error ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Power Sources ◽  
Location Algorithm

Modern fault location methods are robust; however, they depend strongly on the availability of the measurements given by Distributed Energy Resources (DER). If the communication or synchronism of this information is lost, the fault location is not possible. This paper proposes an adaptive impedance-based fault location algorithm for active distribution systems. The proposal combines information provided by Intelligent Electronic Devices (IEDs) located at the substation, the knowledge of the network topology and parameters, as well as the distributed power sources, to estimate the fault location. Its adaptive feature is given by the use of a Distributed Energy Resources (DER) electrical model. This model is used to estimate the DER current contribution to the fault, in case the information provided by a local IED is not available. The method takes two types of DER technologies into account: Inverter non-interfaced DER (INIDER) and Inverter-interfaced DER (IIDER). The proposed method is validated on a modified IEEE 34-node test feeder, which was simulated with ATP/EMTP. The results obtained using the IEDs information, presented a maximum error of 0.8%. When this information is not available, the method’s performance decreases slightly, obtaining a maximum error of 1.1%. The proposed method showed better performance when compared with two state of the art methods, indicating potential use for real-life applications.

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