A Robust Steady-State Frequency Prediction Method Considering Measurement Uncertainty

Based on the existed method of quickly solving the steady-state frequency after disturbance through PMU measurement data, combined with power system state estimation, a robust steady-state frequency prediction method considering measurement uncertainty (Call it R-SFPM) is proposed. The smaller number of synchronous phasor measurement units (PMUs) are used to make all buses of the system observable, the power system state estimation method is applied to estimate the voltage phasor, which is used to indirectly obtain the required measurement of the R-SFPM, it greatly reduces the number of configured PMUs and the number of PMU measurements, also means reducing costs. In addition, considering the bad data in the actual measurement, the standardized residual search identification method (
$\boldsymbol{r}_{\boldsymbol{N}}$
detection) is used to filter out the bad data. Finally, the simulation proves that the proposed method has strong robustness. When noise and bad data are existed in the PMU measurement data, it can also have higher prediction accuracy.