Power system dynamic state estimation considering correlation ofmeasurement error from PMU and SCADA

摘要

It is well known that measurements from phasor measurement unit (PMU) or supervisory controland data acquisition (SCADA) are not generally independent. Since the correlation of measurementerror is a very representative feature of the actual measurement system, traditionalassumptions on error independency are not adequate. In this paper, taking the correlation of measurementerror of both PMU and SCADA measurements into consideration, a novel correlatedextended Kalman filter (CEKF) is proposed. The actual measurement configurations are analyzedwith the consideration of measurement error transfer characteristics. Then, the modified measurementerror covariance matrix is calculated by using the point estimation method, which willreplace the traditional diagonal variance matrix. At last, IEEE 14-bus system and 57-bus systemare provided to illustrate the effectiveness and superiority of the method, respectively.