Abstract -Phasor measurement has previously been used for sub-system model validation, which enables rigorous comparison of model simulation and recorded dynamics and facilitates identification of problematic model components. Recent work extends the sub-system model validation approach with a focus on how model parameters may be calibrated to match recorded dynamics. In this paper, a calibration method using Extended Kalman Filter (EKF) technique is proposed. This paper presents the formulation as well as case studies to show the validity of the EKF-based parameter calibration method. The proposed calibration method is expected to be a cost-effective means complementary to traditional equipment testing for improving dynamic model quality.
Revised: January 3, 2013 |
Published: July 26, 2009
Citation
Huang Z., P. Du, D. Kosterev, and B. Yang. 2009.Application of Extended Kalman Filter Techniques for Dynamic Model Parameter Calibration. In Proceedings of IEEE Power and Energy Society General Meeting (PES 2009), March 15-18, 2009, Seattle, Washington. Piscataway, New Jersey:Institute of Electrical and Electronics Engineers.PNNL-SA-63714.doi:10.1109/PES.2009.5275423