An online PMU-assisted Power System Parameter Calibration System (PSPCS) wasrecently developed and implemented at State Grid Jiangsu Electric Power Company(JEPC). PSPCS leverages high-resolution PMU data and data mining techniques toperform online screening of the EMS and Production Management System (PMS)databases for data cleaning, model validation, and parameter calibration. PSPCScalculates transmission line and generator parameters on a regular real-timebasis and compares the results with databases to identify record(s) withsignificant discrepancy, if any. Once consistent discrepancy is observed, thesystem will raise a flag and further investigation will be initiated, includinga novel density-based spatial clustering procedure for parameter/datacalibration. A novel metric is proposed to quantify the credibility ofPMU-based parameter identification. This paper discusses the proposedmethodologies, challenges, as well as implementation issues identified duringthe development and deployment of PSPCS.
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