An Effective EMTR-Based High-Impedance Fault Location Method for Transmission Lines

This article summarizes the electromagnetic time-reversal (EMTR) technique for fault location, and further numerically validates its effectiveness when the fault impedance is negligible. In addition, a specific EMTR model considering the fault impedance is derived, and the correctness of the model derivation is verified by various calculation methods. Based on this, we found that when the fault impedance is large, the existing EMTR methods might fail to accurately locate the fault. We propose an EMTR method that improves the location effect of high-impedance faults by injecting double-ended signals simultaneously. Theoretical calculations show that this method can achieve an accurate location for high-impedance faults. To further illustrate the effectiveness, the proposed method is compared with the existing EMTR methods and the most commonly used traveling wave-based method using wavelet transform. The simulation results show that the proposed double-ended EMTR method can effectively locate high-impedance faults, and it is more robust against synchronization errors compared with the traveling wave method. In addition, the proposed method does not require the knowledge or a priori guess of the unknown fault impedance.

[1]  Farhad Rachidi,et al.  A Full-Scale Experimental Validation of Electromagnetic Time Reversal Applied to Locate Disturbances in Overhead Power Distribution Lines , 2018, IEEE Transactions on Electromagnetic Compatibility.

[2]  Farhad Rachidi,et al.  Application of the time reversal of electromagnetic fields to locate lightning discharges , 2012 .

[3]  Jinliang He,et al.  Fault detection, classification and location for transmission lines and distribution systems: a review on the methods , 2016, High Voltage.

[4]  Farhad Rachidi,et al.  Using electromagnetic time reversal to locate faults in transmission lines: Definition and application of the “Mirrored Minimum Energy” property , 2017, 2017 International Symposium on Electromagnetic Compatibility - EMC EUROPE.

[5]  Farhad Rachidi,et al.  An Alternative Method for Locating Faults in Transmission Line Networks Based on Time Reversal , 2017, IEEE Transactions on Electromagnetic Compatibility.

[6]  Farhad Rachidi,et al.  Extension of the Unmatched-Media Time Reversal Method to Locate Soft Faults in Transmission Lines , 2018, IEEE Transactions on Electromagnetic Compatibility.

[7]  Gerhard Diendorfer,et al.  On the Location of Lightning Discharges Using Time Reversal of Electromagnetic Fields , 2014, IEEE Transactions on Electromagnetic Compatibility.

[8]  Farhad Rachidi,et al.  Assessment of the Influence of Losses on the Performance of the Electromagnetic Time Reversal Fault Location Method , 2017, IEEE Transactions on Power Delivery.

[9]  Farhad Rachidi,et al.  Electromagnetic Time Reversal Applied to Fault Location: On the Properties of Back-Injected Signals , 2018, 2018 Power Systems Computation Conference (PSCC).

[10]  Newton G. Bretas,et al.  Distribution systems high impedance fault location: A spectral domain model considering parametric error processing , 2019 .

[11]  Farhad Rachidi,et al.  Time reversal applied to fault location in power networks: pilot test results and analyses , 2020 .

[12]  M. Fink,et al.  Time-reversal acoustics in biomedical engineering. , 2003, Annual review of biomedical engineering.

[13]  J. Stenzel,et al.  A Practical Fault Location Approach for Double Circuit Transmission Lines Using Single End Data , 2002, IEEE Power Engineering Review.

[14]  Qi Li,et al.  Norm Criteria in the Electromagnetic Time Reversal Technique for Fault Location in Transmission Lines , 2018, IEEE Transactions on Electromagnetic Compatibility.

[15]  Arturo S. Bretas,et al.  An Integrated Technique for Fault Location and Section Identification in Distribution Systems , 2014 .

[16]  B. Cory,et al.  A Travelling Wave-Based Fault Locator for Two- and Three-Terminal Networks , 1986, IEEE Transactions on Power Delivery.

[17]  P. A. Crossley,et al.  Fault location based on travelling waves , 1993 .

[18]  M. Sanaye-Pasand,et al.  A Traveling-Wave-Based Protection Technique Using Wavelet/PCA Analysis , 2010, IEEE Transactions on Power Delivery.

[19]  A. Orlandi.  Electromagnetic Time Reversal Approach to Locate Multiple Soft Faults , 2018, IEEE Transactions on Electromagnetic Compatibility.

[20]  M. Ianoz,et al.  EMC Analysis Methods and Computational Models , 1996 .

[21]  Hamzah Arof,et al.  High impedance fault location in 11 kV underground distribution systems using wavelet transforms , 2014 .

[22]  Ali Abur,et al.  Fault location using wavelets , 1998 .

[23]  Hamidreza Karami,et al.  Numerical and Experimental Validation of Electromagnetic Time Reversal for Geolocation of Lightning Strikes , 2020, IEEE Transactions on Electromagnetic Compatibility.

[24]  Farhad Rachidi,et al.  A new method to locate faults in power networks based on Electromagnetic Time Reversal , 2012, 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[25]  Mohammad Azadifar,et al.  Single-Sensor Source Localization Using Electromagnetic Time Reversal and Deep Transfer Learning: Application to Lightning , 2019, Scientific Reports.

[26]  S. Santoso,et al.  Power quality assessment via wavelet transform analysis , 1996 .

[27]  Arturo S. Bretas,et al.  Further improvements on impedance-based fault location for power distribution systems , 2011 .

[28]  Farhad Rachidi,et al.  Fault location in multi-terminal HVDC networks based on Electromagnetic Time Reversal with limited time reversal window , 2014, 2014 Power Systems Computation Conference.

[29]  F. Rachidi,et al.  An Efficient Method Based on the Electromagnetic Time Reversal to Locate Faults in Power Networks , 2014, IEEE Transactions on Power Delivery.

[30]  Ali Abur,et al.  Fault Location Using Wide-Area Measurements and Sparse Estimation , 2016, IEEE Transactions on Power Systems.

[31]  Majid Sanaye-Pasand,et al.  A Traveling-Wave-Based Methodology for Wide-Area Fault Location in Multiterminal DC Systems , 2014, IEEE Transactions on Power Delivery.

[32]  Pituk Bunnoon,et al.  Fault Detection Approaches to Power System: State-of-the-Art Article Reviews for Searching a New Approach in the Future , 2013 .

[33]  Reza Jalilzadeh Hamidi,et al.  Traveling-Wave-Based Fault-Location Algorithm for Hybrid Multiterminal Circuits , 2017, IEEE Transactions on Power Delivery.

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

[35]  Farhad Rachidi,et al.  Electromagnetic time reversal applied to fault detection: The issue of losses , 2015, 2015 IEEE International Symposium on Electromagnetic Compatibility (EMC).

[37]  Arturo S. Bretas,et al.  Distribution networks HIF location: A frequency domain system model and WLS parameter estimation approach , 2017 .

[38]  Mingyu Lu,et al.  An Electronic Circuit System for Time-Reversal of Ultra-Wideband Short Impulses Based on Frequency-Domain Approach , 2010, IEEE Transactions on Microwave Theory and Techniques.

[39]  Yuan Liao,et al.  Fault Location for Single-Circuit Line Based on Bus-Impedance Matrix Utilizing Voltage Measurements , 2008, IEEE Transactions on Power Delivery.