Guidelines Resulting from the Application of Hybrid Dynamic Simulation in Calibrating Parameters of the Itaipu Generators

Power system equipment modeling is a key-activity in the electric industry. The modeling capacity allows electrical engineers to comprehend the system behavior and to predict possible problems, affecting power system planning, operation and design. Also, the differences between equipment models and system responses urge to be minimized, avoiding engineers to believe that the power system is more robust than it really is. Among all equipment, the synchronous generators play a central role in the modeling process, because they are the predominant form of generation and their dynamic behavior affects almost all aspects of power system operation. Recently, the oscillographic systems have been upgraded, providing more monitored quantities with better precision. Although several works present studies using phasor measurement data, there is a lack of discussion of model calibration using disturbance data generated by oscillographic recorders. In this context, this paper intends to contribute with a synthesis of the experience of the Itaipu power plant in using oscillographic data in model calibration, presented as a set of guidelines highlighting practices that can help engineers to evaluate generator models.

[1]  R.T. Guttromson,et al.  Large-scale hybrid dynamic simulation employing field measurements , 2004, IEEE Power Engineering Society General Meeting, 2004..

[2]  D. Kosterev,et al.  Model Validation Studies for a Disturbance Event That Occurred on June 14 2004 in the Western Interconnection , 2007, 2007 IEEE Power Engineering Society General Meeting.

[3]  J. S. Edmonds,et al.  Trajectory sensitivity based identification of synchronous generator and excitation system parameters , 1988 .

[4]  R. Ramanathan,et al.  Bridging the gap between operation and planning models in WECC , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[5]  Zhenyu Huang,et al.  Benchmarking of planning models using recorded dynamics , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[6]  C. W. Taylor,et al.  Model validation for the August 10, 1996 WSCC system outage , 1999 .

[7]  Jason C. Neely,et al.  Open-loop testing results for the pacific DC intertie wide area damping controller , 2017, 2017 IEEE Manchester PowerTech.

[8]  G. T. Heydt,et al.  Nonlinear Estimation of Synchronous Machine Parameters Using Operating Data , 2011, IEEE Transactions on Energy Conversion.

[9]  I. Hiskens Nonlinear Dynamic Model Evaluation from Disturbance Measurements , 2001, IEEE Power Engineering Review.

[10]  I. C. Decker,et al.  Hybrid simulations, a smart way to perform parameter validation in power systems , 2011, 2011 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LA).

[11]  Pengwei Du,et al.  Generator dynamic model validation and parameter calibration using phasor measurements at the point of connection , 2013, 2014 IEEE PES General Meeting | Conference & Exposition.

[12]  Jing Huang,et al.  Online Synchronous Machine Parameter Extraction From Small-Signal Injection Techniques , 2009, IEEE Transactions on Energy Conversion.

[13]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[14]  I.A. Hiskens,et al.  Estimating wind turbine parameters and quantifying their effects on dynamic behavior , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[15]  Dmitry Kosterev,et al.  Open-loop PDCI probing tests for the Western North American power system , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[16]  D. Kosterev,et al.  Hydro turbine-governor model validation in pacific northwest , 2004, IEEE Transactions on Power Systems.

[17]  Zhenyu Huang,et al.  Model validation with hybrid dynamic simulation , 2006, 2006 IEEE Power Engineering Society General Meeting.

[18]  Farrokh Aminifar,et al.  Generating Unit Model Validation and Calibration Through Synchrophasor Measurements , 2015, IEEE Transactions on Smart Grid.