Simulation of a Fault Location Algorithm Based on the Traveling Wave Method and Wavelet Transform in MATLAB Simulink Using a Frequency-Dependent Distributed Parameter Transmission Line Model

Document Type : Research Paper

Authors

Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak, 38156-8-8349, Iran.

Abstract

Fault location in transmission lines is one of the fundamental pillars of transmission line protection. Before implementing fault location algorithms in protective relays, they are implemented in the form of simulation in various software. MATLAB software is a suitable candidate for this problem because it has a programming platform and Simulink environment for power system simulation. Also, because some algorithms use traveling waves to estimate the short-circuit distance, their implementation in the software platform requires transmission lines with a frequency-dependent parameter model. In general, in the MATLAB software library until 2020, there were two types of line models with fixed parameters, namely Three Phase PI Section Line and Distributed Parameters Line. The former is a compact model and the latter is a distributed model of the transmission line, whose performance was flawed in implementing fault location algorithms based on traveling waves. Since 2020, with the addition of another line model to the library of this software, the necessary conditions have been provided for the implementation of fault location algorithms based on the traveling wave method. Therefore, in this article, the complete steps of implementing the fault location algorithm in transmission lines with distributed parameters (Distributed Parameters Line and Frequency Depended) in the form of Simulink and MATLAB software programming have been presented. The results of implementing the fault location algorithm in the form of software simulation with frequency-dependent transmission lines confirm the successful performance of the mentioned model compared to the other two models.

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Articles in Press, Accepted Manuscript
Available Online from 14 September 2025
  • Receive Date: 22 April 2025
  • Revise Date: 03 June 2025
  • Accept Date: 07 July 2025