A novel method based on Prony analysis for fundamental frequency estimation in power systems

A Novel method for fundamental frequency estimation in power systems is presented, which has three stages. In the first stage, the input signal is decomposed into two orthogonal components by using cosine and sine filters with a variable window. In the second stage, the cosine-filtered and sine-filtered signals are squared to improve the performance of estimating the fundamental frequency. Finally, Prony analysis estimates the fundamental frequency by approximating the squared signals. The performance of the proposed method was estimated for dynamic conditions on an IEEE 5-bus system. PSCAD/EMTDC was used to generate voltage signals for a load increase case and single phase-to-ground faults. The performance evaluation showed that the proposed method accurately estimated the fundamental frequency of power system signals.

[1]  J. Thorp,et al.  A New Measurement Technique for Tracking Voltage Phasors, Local System Frequency, and Rate of Change of Frequency , 1983, IEEE Transactions on Power Apparatus and Systems.

[2]  M. Sachdev,et al.  A Least Error Squares Technique For Determining Power System Frequency , 1985, IEEE Transactions on Power Apparatus and Systems.

[3]  Vladimir Terzija,et al.  Voltage phasor and local system frequency estimation using Newton type algorithm , 1994 .

[4]  J. Rezmer,et al.  Real-time determination of power system frequency , 1996, Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Tec.

[5]  P. Dash,et al.  An adaptive neural network approach for the estimation of power system frequency , 1997 .

[6]  V. Blasko,et al.  Operation of a phase locked loop system under distorted utility conditions , 1997 .

[7]  Ganapati Panda,et al.  Frequency estimation of distorted power system signals using extended complex Kalman filter , 1999 .

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

[9]  Se-Kyo Chung,et al.  A phase tracking system for three phase utility interface inverters , 2000 .

[10]  C. W. Liu,et al.  A Precise Calculation of Power System Frequency , 2001, IEEE Power Engineering Review.

[11]  Aurobinda Routray,et al.  A novel Kalman filter for frequency estimation of distorted signals in power systems , 2002, IEEE Trans. Instrum. Meas..

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

[13]  Chien-Hung Huang,et al.  Frequency Estimation of Distorted Power System Signals Using a Robust Algorithm , 2008, IEEE Transactions on Power Delivery.

[14]  M. Castilla,et al.  Power System Frequency Measurement Under Nonstationary Situations , 2008, IEEE Transactions on Power Delivery.

[15]  Miodrag D. Kusljevic A Simple Recursive Algorithm for Simultaneous Magnitude and Frequency Estimation , 2008, IEEE Transactions on Instrumentation and Measurement.

[16]  R. Chudamani,et al.  Real-Time Estimation of Power System Frequency Using Nonlinear Least Squares , 2009, IEEE Transactions on Power Delivery.

[17]  Soon-Ryul Nam,et al.  Fundamental Frequency Estimation in Power Systems Using Complex Prony Analysis , 2011 .

[18]  V. Agelidis,et al.  Power quality analysis using piecewise adaptive Prony's Method , 2012, 2012 IEEE International Conference on Industrial Technology.