An Efficient Method Based on the Electromagnetic Time Reversal to Locate Faults in Power Networks

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Publications associées (29)

Properties of Direct-Time and Reversed-Time Transfer Functions to Locate Disturbances along Power Transmission Lines

Mario Paolone, Zhaoyang Wang, Zhe Chen

The paper discusses specific frequency-domain properties of the electromagnetic time reversal (EMTR) method applied to locate faults and, more in general, disturbances in power networks. Specifically, we investigate the properties of two transfer functions ...

IEEE2019

A Full-Scale Experimental Validation of Electromagnetic Time Reversal Applied to Locate Disturbances in Overhead Power Distribution Lines

Farhad Rachidi-Haeri, Marcos Rubinstein, Mario Paolone, Reza Razzaghi, Zhaoyang Wang

Electromagnetic time reversal (EMTR) has emerged as a promising technique to locate disturbances in power grids, thanks to its location accuracy and robustness against parameters uncertainties. Furthermore, in a reflective medium, like the one of a power n ...

2018

Ultra High-Speed Hardware Emulator for Real-Time Fault Location in Multi-Conductor Power Systems

Maher Kayal, François Krummenacher, François Pierre Gaugaz

This research presents a transmission line model aimed for the fault location in power systems using a method based on the Electromagnetic Time-Reversal (EMTR). The discrete-time model simulates the waves travelling in the line by means of many unit delays ...

IEEE2018

Modeling of EMP Coupling to Lossless MTLs in Time Domain Based on Analytical Gauss-Seidel Iteration Technique

Farhad Rachidi-Haeri, Jun Guo

This paper provides an efficient way to simulate the transient electromagnetic field coupling to overhead multi conductor transmission lines in time domain based on an analytical iterative technique. The method is entirely in time domain and therefore can ...

2018

Extension of the Unmatched-Media Time Reversal Method to Locate Soft Faults in Transmission Lines

Mario Paolone

An alternative method based on time reversal to locate solid faults in transmission line networks was recently proposed by Codino et al. in the paper “An alternative method for locating faults in transmission line networks based on time reversal” (IEEE Tra ...

2018

Transient Impedance of Interconnected Wind Turbine Grounding Systems

Farhad Rachidi-Haeri, Marcos Rubinstein, Antonio Sunjerga, Qi Li

Wind turbines are very vulnerable to lightning because of their height, sharp edges and remote locations often with low soil conductivity. In this paper we present numerical simulations of the impedance of a typical wind turbine grounding geometry. We anal ...

IEEE2018

Switched-capacitor high-speed emulator for real-time fault location in electrical power systems

Maher Kayal, François Krummenacher, François Pierre Gaugaz

This research presents a discrete-time transmission line model based on the propagation of travelling waves. In this approach, the transmission line is emulated by means of many interconnected unit delay cells implemented with switched-capacitor (SC) circu ...

SPRINGER2018

Load Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models

Jean-Yves Le Boudec, Andrey Bernstein, Cong Wang

This paper considers unbalanced multiphase distribution systems with generic topology and different load models, and extends the Z-bus iterative load-flow algorithm based on a fixed-point interpretation of the AC load-flow equations. Explicit conditions fo ...

IEEE Institute of Electrical and Electronics Engineers2018

Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-based Real-Time State Estimation

Sidi-Rachid Cherkaoui, Mario Paolone, Paolo Romano, Marco Pignati, Lorenzo Zanni

We intend to prove that PMU-based state estimation processes for active distribution networks exhibit unique time determinism and refresh rate that make them suitable to satisfy the time-critical requirements of protections as well as the accuracy requirem ...

Institute of Electrical and Electronics Engineers2017

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