Low Voltage Zones to Support Fault Location in Distribution Systems With Smart Meters

This paper proposes to combine the voltage monitoring capability of smart meters with impedance-based fault location methods to provide an efficient fault location approach improving service restoration. The first step of the proposed methodology is to apply an impedance-based method to obtain a rough estimation of fault location. Since the result is an estimated distance to the fault, multiple branches can be indicated due to the typical distribution systems topologies. Therefore, the challenge is: how to recognize the actual fault location? To solve this problem, voltage measurements from smart meters are used to build the low voltage zones (LVZs). The main contributions of the proposed fault location technique are to decrease the multiple estimations associated with impedance-based methods, to propose a systematic approach to build the LVZs, and to explore the presence of smart meters for fault location. The proposed method was tested through intensive and extensive simulations in a real distribution system, proving its efficiency.

[1]  M. Sumner,et al.  A New Single-Ended Fault-Location Scheme for Utilization in an Integrated Power System , 2013, IEEE Transactions on Power Delivery.

[2]  Mladen Kezunovic,et al.  Smart Fault Location for Smart Grids , 2011, IEEE Transactions on Smart Grid.

[3]  Dand,et al.  Determining the locations of faults in distribution systems , 1998 .

[4]  D. Daniel Sabin,et al.  Overview of an automatic subtransmission fault location system at DTE energy , 2012, 2012 IEEE Power and Energy Society General Meeting.

[5]  M. Kezunovic,et al.  Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags , 2009, IEEE Transactions on Power Delivery.

[6]  A. E. Fridman The Quality of Measurements , 2012 .

[7]  Sandra Milena Pérez Londoño,et al.  FAULT RESISTANCE AND SOIL RESISTIVITY INFLUENCE ON THE IMPEDANCE BASED METHODS FOR LOCATING FAULTS. A COMPARATIVE ANALYSIS , 2010 .

[8]  German Morales-Espana,et al.  Elimination of multiple estimation for fault location in radial power systems by using fundamental single-end measurements , 2013, 2013 IEEE Power & Energy Society General Meeting.

[9]  T. Takagi,et al.  Development of a New Type Fault Locator Using the One-Terminal Voltage and Current Data , 1982, IEEE Power Engineering Review.

[10]  Jinsang Kim,et al.  Update on distribution system fault location technologies and effectiveness , 2009 .

[11]  Gexiang Zhang,et al.  Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method , 2016, IEEE Transactions on Smart Grid.

[12]  Eugeniusz Rosolowski,et al.  Fault Location on Power Networks , 2009 .

[13]  Nick Jenkins,et al.  Investigation of Domestic Load Control to Provide Primary Frequency Response Using Smart Meters , 2012, IEEE Transactions on Smart Grid.

[14]  Mladen Kezunovic,et al.  Voltage Sag Data Utilization for Distribution Fault Location , 2011, IEEE Transactions on Power Delivery.

[15]  Luis Aleixo,et al.  Power Quality Measurement Capabilities of “Smart” Energy Meters , 2010 .

[16]  M. Tremblay,et al.  ACCURATE FAULT-LOCATION TECHNIQUE BASED ON DISTRIBUTED POWER-QUALITY MEASUREMENTS , 2007 .

[17]  Mladen Kezunovic,et al.  Sensitivity Analysis of Voltage Sag Based Fault Location With Distributed Generation , 2015, IEEE Transactions on Smart Grid.

[18]  Iqbal Husain,et al.  Detecting and Locating Faulty Nodes in Smart Grids Based on High Frequency Signal Injection , 2013, IEEE Transactions on Smart Grid.

[19]  Chan-Nan Lu,et al.  Non-technical loss detection using state estimation and analysis of variance , 2013, 2013 IEEE Power & Energy Society General Meeting.