Title: Dynamic Model Reduction, Calibration and Uncertainty Quantification for Real-time System Analysis and Control Speaker: Shuai Lu, Pacific Northwest National Laboratory Date/Time: Nov 18, 2010 11:00-12:00 (Mountain Time) Location: CSRI Building/Room 90 (VTC to SNL/CA) Brief Abstract: Difficulties with modeling the power grid are normally from two aspects: 1) high degrees of uncertainty caused by continually-changing operating environment, system configurations, and human involvements, and 2) large scale complexity caused by the number of subsystems and the way they interact with each other. These issues have been the major barriers for real-time stability analysis and control in power systems. To manage the complexity, reduced models derived offline have been used to represent large systems. However, changes in generator operation points, circuit topology and others often greatly affect the dynamics of the power system, which make the study results from offline models less useful. Large scale deployments of phasor measurement units (PMUs) in power systems will enable capturing system dynamics through high precision and time-definition measurements. This talk presents a methodology to overcome the barriers for real-time power system analysis based on PMU data. The methodology involves three steps: dynamic model reduction, calibration of the reduced models, and uncertainty quantification to determine boundaries of system behavior. Initial tests were conducted on small systems and have shown very promising results. CSRI POC: Habib Najm, 925-294-2054 |