A new approach for df/dt and active power imbalance in power system estimation using Huang’s Empirical Mode decomposition

Abstract In this paper, Huang’s Empirical Mode Decomposition approach is proposed for df / d t and active power imbalance in power system estimation. Applied approach implies availability of synchronized phasor measurement units. In addition to the successful applications in the analysis of nonstationary dynamic behavior of power system, identifications and analyses of low-frequency electromechanical oscillations and signals denoising, this approach also enables direct estimation of rate of change of a weighted average frequency (frequency of the center of inertia), as well as assessment of the overall imbalance in the power system. This demonstration is performed using computer simulation testing on the 39 Bus New England System and Western System Coordinating Council 118 bus test systems in the DigSILENT PowerFactory power system analysis software package. To validate the proposed approach the actual frequency information are used. Empirical Mode Decomposition approach is compared with Discrete Wavelet Transform, Method of Least Squares and the results from the DigSILENT PowerFactory. Also, performance of the empirical mode decomposition are compared with performances of the multivariate empirical mode decomposition and noise assisted multivariate empirical mode decomposition on both, simulated signals and field measurements. Applied approach is implemented in the MATLAB environment and results show very high accuracy.

[1]  Mohammad R. Dadash Zadeh,et al.  An Accurate Offline Phasor Estimation for Fault Location in Series-Compensated Lines , 2014 .

[2]  Dariusz Kania,et al.  Interpolated-DFT-Based Fast and Accurate Frequency Estimation for the Control of Power , 2014, IEEE Transactions on Industrial Electronics.

[3]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[4]  Alireza R. Bakhshai,et al.  Estimation of Power System Frequency Using Adaptive Notch Filter , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[5]  R. S. Bhatia,et al.  Average Absolute Frequency Deviation Value Based Active Islanding Detection Technique , 2015, IEEE Transactions on Smart Grid.

[6]  Yuxiang Yang,et al.  Frequency Estimation of Distorted and Noisy Signals in Power Systems by FFT-Based Approach , 2014, IEEE Transactions on Power Systems.

[7]  Josep M. Guerrero,et al.  A PLL-Based Controller for Three-Phase Grid-Connected Power Converters , 2018, IEEE Transactions on Power Electronics.

[8]  Juan C. Vasquez,et al.  A Nonadaptive Window-Based PLL for Single-Phase Applications , 2018, IEEE Transactions on Power Electronics.

[9]  Danilo P. Mandic,et al.  Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems , 2012, IEEE Transactions on Instrumentation and Measurement.

[10]  A.G. Phadke,et al.  Frequency Tracking In Power Networks Of Harmonics , 1992, ICHPS V International Conference on Harmonics in Power Systems..

[11]  Milenko B. Djurić,et al.  A new self-tuning algorithm for the frequency estimation of distorted signals , 1995 .

[12]  Zoran A. Salcic,et al.  An Improved Taylor Method for Frequency Measurement in Power Systems , 2009, IEEE Transactions on Instrumentation and Measurement.

[13]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[14]  Danilo P. Mandic,et al.  Filter Bank Property of Multivariate Empirical Mode Decomposition , 2011, IEEE Transactions on Signal Processing.

[15]  Dechang Yang,et al.  Denoising and detrending of measured oscillatory signal in power system , 2012 .

[16]  Tianshu Bi,et al.  Measurements get together , 2009, IEEE Power and Energy Magazine.

[17]  Tao Zhang,et al.  Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals , 2017, Biomedical engineering online.

[18]  Gayadhar Panda,et al.  Improved Recursive Newton Type Algorithm based power system frequency estimation , 2015 .

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

[20]  Danilo P. Mandic,et al.  Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis , 2013, IEEE Signal Processing Magazine.

[21]  Arturo Roman Messina,et al.  ANALYSIS OF INTER-AREA OSCILLATIONS VIA NON-LINEAR TIME SERIES ANALYSIS TECHNIQUES , 2005 .

[22]  Samir Avdakovic,et al.  Generator Coherency Using the Wavelet Phase Difference Approach , 2014, IEEE Transactions on Power Systems.

[23]  Majid Sanaye-Pasand,et al.  A new time-domain based power system frequency estimation algorithm , 2012 .

[24]  Boon-Teck Ooi,et al.  Application of Enhanced Phase-Locked Loop System to the Computation of Synchrophasors , 2011, IEEE Transactions on Power Delivery.

[25]  Yili Xia,et al.  A widely linear least mean phase algorithm for adaptive frequency estimation of unbalanced power systems , 2014 .

[26]  Danilo P. Mandic,et al.  Diffusion widely linear adaptive estimation of system frequency in distributed power grids , 2014, 2014 IEEE International Energy Conference (ENERGYCON).

[27]  Gabriel Rilling,et al.  On empirical mode decomposition and its algorithms , 2003 .

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

[29]  G.T. Heydt,et al.  A Comparative Assessment of Two Techniques for Modal Identification From Power System Measurements , 2008, IEEE Transactions on Power Systems.

[30]  Zhengyou He,et al.  A Modified Dynamic Synchrophasor Estimation Algorithm Considering Frequency Deviation , 2017, IEEE Transactions on Smart Grid.

[31]  Chih-Wen Liu,et al.  A precise calculation of power system frequency and phasor , 2000 .

[32]  V. Agelidis,et al.  Accurate Estimation of Single-Phase Grid Voltage Fundamental Amplitude and Frequency by Using a Frequency Adaptive Linear Kalman Filter , 2016, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[33]  Paulo F. Ribeiro,et al.  A novel DFT-based method for spectral analysis under time-varying frequency conditions , 2014 .

[34]  Cheng-I Chen Design of Measurement System Based on Signal Reconstruction for Analysis and Protection of Distributed Generations , 2013, IEEE Transactions on Industrial Electronics.

[35]  S. S. Shen,et al.  A confidence limit for the empirical mode decomposition and Hilbert spectral analysis , 2003, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[36]  Jiping Lu,et al.  Frequency estimation in wind farm integrated systems using artificial neural network , 2014 .

[37]  Md. Shamim Reza,et al.  Power System Frequency Estimation by Using a Newton-Type Technique for Smart Meters , 2015, IEEE Transactions on Instrumentation and Measurement.

[38]  Arturo Roman Messina,et al.  Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective , 2009 .

[39]  Daniel Belega,et al.  Fast Synchrophasor Estimation by Means of Frequency-Domain and Time-Domain Algorithms , 2014, IEEE Transactions on Instrumentation and Measurement.

[40]  H. H. Happ,et al.  Power System Control and Stability , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[41]  Josep M. Guerrero,et al.  Performance Improvement of a Prefiltered Synchronous-Reference-Frame PLL by Using a PID-Type Loop Filter , 2014, IEEE Transactions on Industrial Electronics.

[42]  Giuseppe Fedele,et al.  A Frequency-Locked-Loop Filter for Biased Multi-Sinusoidal Estimation , 2014, IEEE Transactions on Signal Processing.

[43]  A.R. Messina,et al.  A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring , 2009, IEEE Transactions on Power Systems.

[44]  Gabriel Benmouyal An Adaptive Sampling-Interval Generator for Digital Relaying , 1989, IEEE Power Engineering Review.

[45]  M. Kezunovic,et al.  A Hybrid Method for Power System Frequency Estimation , 2012, IEEE Transactions on Power Delivery.

[46]  Walter Elmore,et al.  Protective Relaying Theory And Applications , 1994 .

[47]  G. Barakat,et al.  A comparative study of time-frequency representations for fault detection in wind turbine , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[48]  Alexandre C. B. Delbem,et al.  Frequency Estimation Using a Genetic Algorithm With Regularization Implemented in FPGAs , 2012, IEEE Transactions on Smart Grid.

[49]  N. Senroy,et al.  Generator Coherency Using the Hilbert–Huang Transform , 2008, IEEE Transactions on Power Systems.

[50]  Soon-Ryul Nam,et al.  Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method , 2014 .

[51]  Ž. Zečević,et al.  Improved Frequency Estimation in Unbalanced Three-Phase Power System Using Coupled Orthogonal Constant Modulus Algorithm , 2017, IEEE Transactions on Power Delivery.

[52]  Dawei Fan,et al.  Synchronized Measurements And Applications During Power System Dynamics , 2008 .

[53]  M. S. Sachdev,et al.  Off-Nominal Frequency Measurements in Electric Power Systems , 1989, IEEE Power Engineering Review.

[54]  Danilo P. Mandic,et al.  Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems , 2015, IEEE Transactions on Instrumentation and Measurement.

[55]  Vijay Vittal,et al.  Interpretation and Visualization of Wide-Area PMU Measurements Using Hilbert Analysis , 2006 .

[56]  Samir Avdakovic,et al.  Wavelet transform applications in power system dynamics , 2012 .

[57]  R. Betancourt,et al.  Analysis and Characterization of Power System Nonlinear Oscillations Us- ing Hilbert Spectral Analysis , 2007 .

[58]  Pradipta Kishore Dash,et al.  A Gauss–Newton ADALINE for Dynamic Phasor Estimation of Power Signals and Its FPGA Implementation , 2018, IEEE Transactions on Instrumentation and Measurement.

[59]  D. Novosel,et al.  Dawn of the grid synchronization , 2008, IEEE Power and Energy Magazine.

[60]  Roger L. King,et al.  TECHNOLOGICAL BREAKTHROUGHS IN SYSTEM INTEGRITY PROTECTION SCHEMES , 2008 .

[61]  Vladimir V. Terzija,et al.  Estimation of Frequency and Fundamental Power Components Using an Unscented Kalman Filter , 2012, IEEE Transactions on Instrumentation and Measurement.

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

[63]  Yi Zhang,et al.  Performance evaluation of Noise-Assisted Multivariate Empirical Mode Decomposition and its application to multichannel EMG signals , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[64]  Danilo P. Mandic,et al.  Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators , 2012, IEEE Signal Processing Magazine.

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

[66]  Danilo P. Mandic,et al.  Emd via mEMD: multivariate noise-Aided Computation of Standard EMD , 2013, Adv. Data Sci. Adapt. Anal..

[67]  Miodrag D. Kusljevic On LS-Based Power Frequency Estimation Algorithms , 2013, IEEE Transactions on Instrumentation and Measurement.

[68]  A. Abdollahi,et al.  Frequency Estimation: A Least-Squares New Approach , 2011, IEEE Transactions on Power Delivery.

[69]  G.T. Heydt,et al.  Nonstationary Approaches to Trend Identification and Denoising of Measured Power System Oscillations , 2009, IEEE Transactions on Power Systems.

[70]  Danilo P. Mandic,et al.  A Distributed Quaternion Kalman Filter With Applications to Smart Grid and Target Tracking , 2016, IEEE Transactions on Signal and Information Processing over Networks.

[71]  D. P. Mandic,et al.  Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[72]  Dario Petri,et al.  A Frequency-Domain Algorithm for Dynamic Synchrophasor and Frequency Estimation , 2014, IEEE Transactions on Instrumentation and Measurement.

[73]  Vladimir Terzija Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation , 2006 .

[74]  Mojtaba Khederzadeh,et al.  Dynamic synchrophasor estimation by Taylor–Prony method in harmonic and non-harmonic conditions , 2017 .