Sensitivity Analysis of the Kalman Filter and Its Applications in Power Systems

Conference · Fri Apr 29 00:00:00 EDT 2011

DOI:https://doi.org/10.1109/ISGT.2011.5759157· OSTI ID:1452887

Anderson, Kevin K.; Huang, Zhenyu; Li, Yulan; Du, Pengwei; Diao, Ruisheng; Lee, Barry

Power system model integrity is essential to many planning and operation tasks to ensure the safety and reliability of electricity delivery. Inaccurate system models would result in unreliable assessment of system security conditions and cause large-scale blackouts such as the 2003 Northeast Blackout. This dictates a strong need for knowing the sensitivity of the model to errors in certain input variabless. Our previous work has demonstrated the feasibility of applying the Extended Kalman Filter (EKF) to dynamically monitor generator parameters using disturbance data recorded by phasor measurement units (PMU). This paper uses simulation to examine the effectiveness of augmenting the state variables with the uncertain input variables to improve state variable tracking and to calibrate the input variables

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1452887
• Report Number(s): PNNL-SA-75307
• Country of Publication: United States
• Language: English