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

Masoud Dashtdar, Masoud Dashtdar, Seyed Mohammad Sadegh Hosseinimoghadam, Majid Dashtdar, Majid Dashtdar

2021International Journal of Emerging Electric Power Systems17 citationsDOI

Abstract

Abstract 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.

Topics & Concepts

Fault (geology)Network information systemInstallationLine (geometry)Voltage dropFault indicatorElectric power distributionVoltageEngineeringPower (physics)Computer scienceElectronic engineeringElectric power transmissionReal-time computingElectrical engineeringReliability engineeringFault detection and isolationNetwork architectureComputer networkNetwork management stationSeismologyGeologyMathematicsPhysicsMechanical engineeringActuatorQuantum mechanicsGeometryPower Systems Fault DetectionIslanding Detection in Power SystemsElectricity Theft Detection Techniques
Fault location in the distribution network based on power system status estimation with smart meters data | Litcius