Use of PMUs in regression-based power system dynamic state estimation

In this paper a new approach to incorporate PMU measurements to regression-based dynamic state estimation (DSE) is presented. Regression-based DSE utilizes a state transition matrix calculated by the historical values of the states in state forecasting stage. Proposed technique exploits the PMU measurements along with SCADA measurements to correct the forecasted states. The technique incorporates the fast sampling rate of PMU measurements to provide a “state trend”, while SCADA measurements are not available. The state trends are then used to determine the state transition matrix based on regression analysis. The transition matrix is updated when most recent measurements are available from PMUs. The tests on IEEE 57-bus system show improvement in the state forecasting accuracy when compared to the existing state forecasting methods in dynamic state estimation.