Real time harmonics estimation of distorted power system signal

Abstract Power system harmonics should be estimated properly for the maintenance of power quality. So, there is a need for development of more accurate and computationally efficient estimation technique. In this context, this paper presents a harmonics estimation technique using a Variable Leaky Least Mean Square algorithm. In this proposed method drifting of parameters is avoided using a leak adjustment method. To improve the rate of convergence, step size is also adapted in this method. Real time power system is also imitated using different cases through simulation, which enables the superiority of the proposed method over the other existing techniques. Studies made on experimental data, processed in arduino due microcontroller, also support its superiority.

[1]  Ahmet Serdar Yilmaz,et al.  Applications of parametric spectral estimation methods on detection of power system harmonics , 2008 .

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

[3]  B. Widrow,et al.  A variable leaky LMS adaptive algorithm , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[4]  J.J. Tomic,et al.  A New Power System Digital Harmonic Analyzer , 2007, IEEE Transactions on Power Delivery.

[5]  Tyseer Aboulnasr,et al.  Leaky LMS algorithm: MSE analysis for Gaussian data , 1997, IEEE Trans. Signal Process..

[6]  Dong Hwa Kim,et al.  A hybrid genetic algorithm and bacterial foraging approach for global optimization , 2007, Inf. Sci..

[7]  Zhongxing Geng,et al.  The algorithm of interpolating windowed FFT for harmonic analysis of electric power system , 2001 .

[8]  S. N. Singh,et al.  Fast Harmonic Estimation of Stationary and Time-Varying Signals Using EA-AWNN , 2013, IEEE Transactions on Instrumentation and Measurement.

[9]  Patrick A. Naylor,et al.  Application of the leaky extended LMS (XLMS) algorithm in stereophonic acoustic echo cancellation , 1998, Signal Process..

[10]  Julio Barros,et al.  Automatic Detection and Analysis of Voltage Events in Power Systems , 2006, IEEE Transactions on Instrumentation and Measurement.

[11]  A. N. Mortensen,et al.  A power system digital harmonic analyzer , 1988 .

[12]  Hun Choi,et al.  A Filter Bank and a Self-Tuning Adaptive Filter for the Harmonic and Interharmonic Estimation in Power Signals , 2012, IEEE Transactions on Instrumentation and Measurement.

[13]  C. S. Lee,et al.  Enhanced FFT-based parametric algorithm for simultaneous multiple harmonics analysis , 2001 .

[14]  Sukumar Mishra,et al.  A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation , 2005, IEEE Transactions on Evolutionary Computation.

[15]  Miodrag D. Kusljevic,et al.  Simultaneous Frequency and Harmonic Magnitude Estimation Using Decoupled Modules and Multirate Sampling , 2010, IEEE Transactions on Instrumentation and Measurement.

[16]  José Antonio de la O. Serna,et al.  Taylor–Kalman–Fourier Filters for Instantaneous Oscillating Phasor and Harmonic Estimates , 2012, IEEE Transactions on Instrumentation and Measurement.

[17]  A.K. Pradhan,et al.  Power system frequency estimation using least mean square technique , 2005, IEEE Transactions on Power Delivery.

[18]  S. N. Singh,et al.  Exact Model Order ESPRIT Technique for Harmonics and Interharmonics Estimation , 2012, IEEE Transactions on Instrumentation and Measurement.

[19]  A. Bakhshai,et al.  Processing of Harmonics and Interharmonics Using an Adaptive Notch Filter , 2010, IEEE Transactions on Power Delivery.

[20]  Julio Barros,et al.  Applications of Wavelet Transform for Analysis of Harmonic Distortion in Power Systems: A Review , 2012, IEEE Transactions on Instrumentation and Measurement.

[21]  Aurobinda Routray,et al.  Harmonic estimation in a power system using adaptive perceptrons , 1996 .

[22]  Sandip Ghosh,et al.  Variable leaky least mean-square algorithm-based power system frequency estimation , 2012 .

[23]  Rui Seara,et al.  On the LMS algorithm with constant and variable leakage factor in a nonlinear environment , 2006, IEEE Transactions on Signal Processing.

[24]  Duan Shanxu,et al.  A robust parametric method for power harmonic estimation based on M-Estimators , 2009, 2009 IEEE 6th International Power Electronics and Motion Control Conference.

[25]  Bidyadhar Subudhi,et al.  Ensemble-Kalman-Filter-Based Power System Harmonic Estimation , 2012, IEEE Transactions on Instrumentation and Measurement.

[26]  Mahmood Joorabian,et al.  Harmonic estimation in a power system using a novel hybrid Least Squares-Adaline algorithm , 2009 .

[27]  Mehdi Monadi,et al.  Harmonic Estimation in Power Systems Using Adaptive Perceptrons Based on a Genetic Algorithm , 2007 .

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

[29]  Pradipta Kishore Dash,et al.  Fast Tracking of Power Quality Disturbance Signals Using an Optimized Unscented Filter , 2009, IEEE Transactions on Instrumentation and Measurement.

[30]  T. P. Tsao,et al.  The Optimization of Spectrum Analysis for Signal Harmonics , 2001, IEEE Power Engineering Review.