Prony filter vs conventional filters for distance protection relays: An evaluation

Abstract This article presents a performance evaluation of Prony method vs conventional digital filters in distance relay protection algorithms, and characterizes the error when asynchronous frequency components (subharmonics or interharmonics) are embedded in voltage and current signals during fault period when conventional digital filters of distance relay algorithms (cosine or Fourier filter) are used to estimate the fundamental frequency phasors. First, the signal processing overview of conventional distance relays is presented. Then, the effects of line series compensation in distance relay estimation during the fault period are presented by analyzing two events of recorded data signals in a laboratory test system of a series compensated line and using a mho operation characteristic. Next, Prony method and its considerations for the implementation in distance relay algorithms are described. Then, the performance of Prony method using simulated signals is evaluated. Lastly, an assessment of Prony as a digital filter in distance relay algorithm is performed by analyzing two fault events in a laboratory test system using a quadrilateral operation characteristic, and the results of Prony vs conventional digital filters in distance relay algorithms are presented.

[1]  Javier Ortiz-Villafuerte,et al.  Prony's method application for BWR instabilities characterization , 2015 .

[2]  J. Segundo,et al.  Harmonic analysis of power systems including thyristor-controlled series capacitor (TCSC) and its interaction with the transmission line , 2014 .

[3]  Rudra Prakash Maheshwari,et al.  Protection of series compensated transmission line: Issues and state of art , 2014 .

[4]  James S. Thorp,et al.  Computer Relaying for Power Systems , 2009 .

[5]  Gerhard Ziegler,et al.  Numerical Differential Protection: Principles and Applications , 2005 .

[6]  Helmut Ungrad,et al.  Protection Techniques in Electrical Energy Systems , 1995 .

[7]  Waldemar Rebizant,et al.  Digital Signal Processing in Power System Protection and Control , 2011 .

[8]  Zbigniew Leonowicz,et al.  Parametric methods for time-frequency analysis of electric signals , 2006 .

[9]  Math Bollen,et al.  Measurements of harmonic emission versus active power from wind turbines , 2014 .

[10]  Roberto Langella,et al.  Impact of operating conditions on harmonic and interharmonic emission of PV inverters , 2015, 2015 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[11]  Ceyhun Yildiz,et al.  Power Quality Measurement and Evaluation of a Wind Farm Connected to Distribution Grid , 2015 .

[12]  M. A. Johnson,et al.  Prony analysis and power system stability-some recent theoretical and applications research , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[13]  Siemens Aktiengesellschaft,et al.  Numerical Distance Protection: Principles and Applications , 1999 .

[14]  Tadeusz Lobos,et al.  High-resolution spectrum-estimation methods for signal analysis in power systems , 2006, IEEE Transactions on Instrumentation and Measurement.

[15]  Hsiung Cheng Lin Sources, Effects, and Modelling of Interharmonics , 2014 .

[16]  F. Brouaye,et al.  Fourier transform, wavelets, Prony analysis: tools for harmonics and quality of power , 1998, 8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.98EX227).

[17]  Vineeta Agarwal,et al.  Harmonics and inter harmonics estimation of DFIG based standalone wind power system by parametric techniques , 2015 .

[18]  V.Cook Analysis of Distance Protection , 2021, Power System Protection.