A Hybrid Algorithm for Power System State Estimation Based on PMU Measurement and SCADA Measurement

The data matching problem in aligning the phasor measurement unit (PMU) measurement and SCADA measurement is studied. The state conversion forecast is used to get the forecast state and node injection current vector. A linear static state estimation algorithm using PMU real-time measurement and forecast node injection current vector, and a linear dynamic state estimation algorithm using PMU real-time measurement and forecast state are proposed. By combining the two algorithms and traditional state estimation, a hybrid algorithm suitable for any PMU placement status is formed. The linear state estimation algorithm is used to reduce the calculating time and traditional state estimation algorithm to ensure calculating accuracy. The effectiveness of the algorithm proposed is illustrated with numerical simulation using the IEEE 30-bus system.