Real time measurement of power disturbances: Part 1. Survey and a novel complex filter approach

The accurate and real time measurement of power disturbance is a key element of protection, control, fault diagnosis, power quality monitoring and power metering in electric power systems. This paper proposes three criteria for selecting or developing an appropriate measurement technique and, based on these criteria, the performance of the measurement techniques in common use or newly developed are analysed. A novel complex filter and the associated recursive algorithm are further presented in this paper, which achieve both high measurement accuracy in all service conditions and low computational complexity. The potential applications of the proposed method are also addressed briefly, its effectiveness and superiority are ascertained in Part 2 of the series using both simulated and practical power disturbance waveforms.

[1]  Loi Lei Lai,et al.  Real-time frequency and harmonic evaluation using artificial neural networks , 1999 .

[2]  Tao Lin,et al.  Real-time measurement of power disturbances: Part 2. Implementation and evaluation of the novel complex filter/recursive algorithm , 2006 .

[3]  M.R. Iravani,et al.  A method for synchronization of power electronic converters in polluted and variable-frequency environments , 2004, IEEE Transactions on Power Systems.

[4]  V. Terzija,et al.  Symmetrical Components Estimation through Nonrecursive Newton Type Numerical Algorithm , 2002, IEEE Power Engineering Review.

[5]  E.F. El-Saadany,et al.  A processing unit for symmetrical components and harmonics estimation based on a new adaptive linear combiner structure , 2004, IEEE Transactions on Power Delivery.

[6]  R. Grondin,et al.  Online Tracking of Changing Harmonics in Stressed Power Systems: Application to Hydro-Quebec Network , 1996, IEEE Power Engineering Review.

[7]  A. Domijan,et al.  A survey of techniques for power quality monitoring , 2005 .

[8]  Magdy M. A. Salama,et al.  Power quality monitoring using an integrated Fourier linear combiner and fuzzy expert system , 1999 .

[9]  Lalu Mansinha,et al.  Localization of the complex spectrum: the S transform , 1996, IEEE Trans. Signal Process..

[10]  A. Girgis,et al.  A digital recursive measurement scheme for online tracking of power system harmonics , 1991 .

[11]  Martin Vetterli,et al.  Atomic signal models based on recursive filter banks , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[12]  Pradipta Kishore Dash,et al.  Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks , 2004, IEEE Transactions on Instrumentation and Measurement.

[13]  A.V. Mamishev,et al.  Classification of power quality events using optimal time-frequency representations-Part 1: theory , 2004, IEEE Transactions on Power Delivery.

[14]  M. Bettayeb,et al.  Recursive estimation of power system harmonics , 1998 .

[15]  Masoud Karimi-Ghartemani,et al.  A signal processing module for power system applications , 2003 .

[16]  Michel Meunier,et al.  Detection and measurement of power quality disturbances using wavelet transform , 2000 .

[17]  M.R. Iravani,et al.  A signal Processing system for extraction of harmonics and reactive current of single-phase systems , 2004, IEEE Transactions on Power Delivery.

[18]  L.A.L. de Almeida,et al.  Improving the signal data acquisition in condition monitoring of electrical machines , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).

[19]  J. F. Hauer,et al.  Making Prony analysis more accurate using multiple signals , 1999 .

[20]  J. A. de la O Serna,et al.  A new digital filter for phasor computation. I. Theory , 1997, Proceedings of the 20th International Conference on Power Industry Computer Applications.

[21]  C. Robert Pinnegar,et al.  Time-local Fourier analysis with a scalable, phase-modulated analyzing function: the S-transform with a complex window , 2004, Signal Process..

[22]  M. S. Sachdev,et al.  An iterative technique for fast and accurate measurement of power system frequency , 1998 .

[23]  Ganapati Panda,et al.  An extended complex Kalman filter for frequency measurement of distorted signals , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[24]  Vladimir V. Terzija,et al.  Improved recursive Newton-type algorithm for frequency and spectra estimation in power systems , 2003, IEEE Trans. Instrum. Meas..

[25]  F. Brouaye,et al.  Wavelets: a new tool for the resonant grounded power distribution systems relaying , 1996 .

[26]  Houshang Karimi,et al.  An adaptive filter for synchronous extraction of harmonics and distortions , 2003 .

[27]  H. J. Altuve,et al.  A new digital filter for phasor computation. I. Theory [power system protection] , 1998 .

[28]  Pradipta Kishore Dash,et al.  Multiresolution S-transform-based fuzzy recognition system for power quality events , 2004 .

[29]  Houshang Karimi,et al.  A magnitude/phase-locked loop system based on estimation of frequency and in-phase/quadrature-phase amplitudes , 2004, IEEE Transactions on Industrial Electronics.

[30]  Michel Meunier,et al.  New signal processing tools applied to power quality analysis , 1999 .

[31]  M.R. Iravani,et al.  Estimation of frequency and its rate of change for applications in power systems , 2004, IEEE Transactions on Power Delivery.

[32]  E.F. El-Saadany,et al.  A novel control algorithm for the DG interface to mitigate power quality problems , 2004, IEEE Transactions on Power Delivery.

[33]  Michel Meunier,et al.  Prony's method: an efficient tool for the analysis of earth fault currents in Petersen-coil-protected networks , 1995 .

[34]  G. Benmouyal.  Frequency-domain characterization of Kalman filters as applied to power system protection , 1992 .

[35]  Lucas J. van Vliet,et al.  Recursive Gabor filtering , 2002, IEEE Trans. Signal Process..

[36]  O DeLa,et al.  New family of digital filters for phasor computation [power system relay protection] , 2000 .

[37]  K. Eichhorn,et al.  Recursive real-time calculation of basic waveforms of signals , 1991 .

[38]  Saifur Rahman,et al.  An adaptive linear combiner for on-line tracking of power system harmonics , 1996 .

[39]  T. Lin,et al.  A wavelet approach to real time estimation of power system frequency , 2001, SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603).