Application of Extended Kalman Filter Techniques for Dynamic Model Parameter Calibration

Conference · Sun Jul 26 04:00:00 EDT 2009

DOI:https://doi.org/10.1109/PES.2009.5275423· OSTI ID:1059629

Huang, Zhenyu; Du, Pengwei; Kosterev, Dmitry; Yang, Bo

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.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1059629
• Report Number(s): PNNL-SA-63714; TE1101000
• Country of Publication: United States
• Language: English

Related Subjects

Extended Kalman Filter
Generator Modeling
Model Calibration
Model Validation
Phasor Measurement
Wide-Area Measurement Systems (WAMS)