FIR modeling of voltage instrument transformers with iron core for the study of fast transients

Modern electronics found in various measuring equipment is sensitive to the effect of transient over-voltages. This paper treats the measurement procedure for the estimation of Finite Impulse Response (FIR) models of voltage instrument transformers, dedicated for the study of fast electromagnetic transients, with the special concern to its influence on the equipment connected to the secondary. A black-box approach is applied, and the model identification is based solely on a single measurement with the impulse excitation. The paper proposes two different procedures for the estimation of the analytical expression of the excitation, based on the parameters of the impulse generator or its estimation using a least-squares procedure. The frequency response of the transformer is used for the design of an initial FIR model, which was further reduced using corrected Akaike information criterion. This way the duration of the transient response calculation is further decreased, and the computation complexity reduced. Once determined, the FIR model allows, through the digital filtering operation (closely related to the concept of recursive convolution), a very easy time-domain calculation of the system’s response at any excitation.

[1]  V. Woivre,et al.  Transient overvoltage study and model for shell-type power transformers , 1993 .

[2]  Lennart Ljung,et al.  L2 Model reduction and variance reduction , 2000, Autom..

[3]  T. Noda,et al.  Accurate Modeling of Core-Type Distribution Transformers for Electromagnetic Transient Studies , 2002, IEEE Power Engineering Review.

[4]  Y. Selen,et al.  Model-order selection: a review of information criterion rules , 2004, IEEE Signal Processing Magazine.

[5]  Jose R. Marti,et al.  Simplified three-phase transformer model for electromagnetic transient studies , 1995 .

[6]  Brett Ninness,et al.  Identification of power transformer models from frequency response data: A case study , 1998, Signal Process..

[7]  Thomas F. Coleman,et al.  Large Sparse Numerical Optimization , 1984, Lecture Notes in Computer Science.

[8]  Mladen Kezunovic,et al.  Mathematical models for current, voltage, and coupling capacitor voltage transformers , 2000 .

[9]  Piet M. T. Broersen,et al.  Order selection for vector autoregressive models , 2003, IEEE Trans. Signal Process..

[10]  R. E. James,et al.  A Z-transform model of transformers for the study of electromagnetic transients in power systems , 1990 .

[11]  Piet M. T. Broersen,et al.  Finite sample criteria for autoregressive order selection , 2000, IEEE Trans. Signal Process..

[12]  Zuyi Li,et al.  A compensation scheme for CVT transient effects using artificial neural network , 2008 .

[13]  M. S. Savić,et al.  Calculation of Transients in Transformer Winding and Determination of Winding Parameters , 2007 .

[14]  Bjorn Gustavsen Application of Vector Fitting to High Frequency Transformer Modeling , 2003 .

[15]  Jinhai Chen,et al.  Local convergence results of Gauss-Newton's like method in weak conditions , 2006 .

[16]  A. Schellmanns,et al.  Equivalent circuits for transformers based on one-dimensional propagation: accounting for multilayer structure of windings and ferrite losses , 2000 .

[17]  Petar M. Djuric,et al.  Asymptotic MAP criteria for model selection , 1998, IEEE Trans. Signal Process..

[18]  Mighanda Manyahi,et al.  Simplified model for estimation of lightning induced transient transfer through distribution transformer , 2005 .

[19]  Anthony J. Jakeman,et al.  An instrumental variable method for model order identification , 1980, Autom..

[20]  Louis Weinberg,et al.  Network Analysis and Synthesis , 1962 .

[21]  Petre Stoica,et al.  An indirect prediction error method for system identification , 1991, Autom..

[22]  Y. Selén,et al.  An Approach to Sparse Model Selection and Averaging , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.

[23]  A. Ramirez,et al.  z-transform-based methods for electromagnetic transient simulations , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[24]  W. Cooley,et al.  Multivariate Data Analysis , 1972 .

[25]  Enrique E. Mombello,et al.  Impedances for the calculation of electromagnetic transient phenomena and resonance in transformer windings , 2000 .

[26]  P.T.M. Vaessen Transformer model for high frequencies , 1988 .

[27]  Francisco Salgado Carvalho,et al.  Transient conditions in CCVTs outputs and their effects on the detection of traveling waves , 2006 .

[28]  Jinhai Chen,et al.  Convergence of Gauss-Newton's method and uniqueness of the solution , 2005, Appl. Math. Comput..

[29]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[30]  Darlan A. Fernandes,et al.  Coupling capacitor voltage transformer: A model for electromagnetic transient studies , 2007 .

[31]  A. S. Morched,et al.  A high frequency transformer model for the EMTP , 1993 .

[32]  Jae Kap Jung,et al.  In-situ measurement of the current transformer burden in a current transformer testing system using a shunt resistor , 2007 .

[33]  Andreas Braun Determination of Current Transformer Errors at Primary Currents up to 100 000 A , 1977, IEEE Transactions on Instrumentation and Measurement.

[34]  D. Slomovitz Electronic compensation of voltage transformers , 1988 .

[35]  A. E. Fitzgerald,et al.  Electric machinery : an integrated treatment of A-C and D-C machines , 1952 .