Influence of Phasor Measurement Error on Parameter Identification for a Synchronous Generator

Abstract In this article, a method is presented to analyze the influence of phasor measurement errors on the parameter identification of synchronous generators. The equations describing the relationship between parameter deviation and phasor error are derived as based on the six-order model of a synchronous generator and the step-identification algorithm. Because parameter precision is important for the simulation and security operation of the power system, measurement errors, including those of current and voltage magnitudes and phase angles, are discussed to determine their influence on the identified parameters. In addition, through implementation of a practical example, the values of parameter errors directly resulting from phasor measurement errors are calculated via equations, and a simulation method is used to validate the effectiveness of the proposed equations. The results indicate that this method can be applied to identify any synchronous generator parameter, in addition to functioning as a reference to evaluate the identification algorithm and phasor measurement unit data quality.

[1]  D. J. Winning,et al.  Comparisons of synchronous-machine models in the study of the transient behaviour of electrical power systems , 1971 .

[2]  M. Albu,et al.  Identification of the Standard Parameters of a Steam Turbine-Generator Using Wavelet Denoising , 2007 .

[3]  V. Ajjarapu,et al.  PMU-Based Model-Free Approach for Real-Time Rotor Angle Monitoring , 2015, IEEE Transactions on Power Systems.

[4]  A. Keyhani,et al.  The Effects of Noise on Frequency-Domain Parameter Estimation of Synchronous Machine Models , 1989, IEEE Power Engineering Review.

[5]  Jovica V. Milanovic,et al.  Online Identification of Power System Dynamic Signature Using PMU Measurements and Data Mining , 2016, IEEE Transactions on Power Systems.

[6]  Mehdi Karrari,et al.  Synchronous generator model identification using adaptive pursuit method , 2006 .

[7]  Chung-Liang Chang,et al.  On-line measurement-based model parameter estimation for synchronous generators: model development and identification schemes , 1994 .

[8]  Chung-Liang Chang,et al.  On-line measurement-based model parameter estimation for synchronous generators: solution algorithm and numerical studies , 1994 .

[9]  Huiping Cao,et al.  Supervisory Protection and Automated Event Diagnosis Using PMU Data , 2016, IEEE Transactions on Power Delivery.

[10]  Esmael Fallah Choolabi,et al.  Identification of dynamic parameters of a fourth-order Synchronous generator nonlinear model using Particle Swarm Optimization algorithm , 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

[11]  T. Niewierowicz,et al.  Hybrid genetic algorithm for the identification of high-order synchronous machine two-axis equivalent circuits , 2003, Comput. Electr. Eng..

[12]  Wenxin Liu,et al.  Particle swarm optimization-based parameter identification applied to permanent magnet synchronous motors , 2008, Eng. Appl. Artif. Intell..

[13]  K. W. Wang,et al.  Multimachine eigenvalue sensitivities of power system parameters , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[14]  Bashar Zahawi,et al.  Non-invasive identification of turbo-generator parameters from actual transient network data , 2015 .

[15]  Ali Keyhani,et al.  On-line synchronous machine parameter estimation from small disturbance operating data , 1995 .

[16]  M. S. Sachdev,et al.  Online identification of magnetizing inrush and internal faults in three-phase transformers , 1992 .

[17]  I. M. Canay,et al.  Determination of the model parameters of machines from the reactance operators x/sub d/(p), x/sub q/(p) (evaluation of standstill frequency response test) , 1993 .

[18]  Q. Jiang,et al.  Multi-Scenario Parameter Estimation for Synchronous Generation Systems , 2017, IEEE Transactions on Power Systems.

[19]  Zhengming Zhao,et al.  A dynamic on-line parameter identification and full-scale system experimental verification for large synchronous machines , 1995 .

[20]  Mehdi Karrari,et al.  Simultaneous Parameter Identification of Synchronous Generator and Excitation System Using Online Measurements , 2016, IEEE Transactions on Smart Grid.

[21]  Sun Hongbin Key Issues of Synchronous Generator Parameter Identification Using PMU Measurements , 2012 .