PMU Assisted Power System Parameter Calibration at Jiangsu Electric Power Company

TL;DR

This paper presents an online PMU-assisted system for real-time calibration and validation of power system parameters, improving data accuracy and system reliability at Jiangsu Electric Power Company.

Contribution

It introduces a novel density-based clustering method and credibility metric for PMU-based parameter calibration, enhancing existing power system data validation techniques.

Findings

Effective real-time parameter calibration using high-resolution PMU data.

Identification of discrepancies in transmission line and generator parameters.

Implementation of a novel clustering and credibility assessment method.

Abstract

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