Generator Parameter Identification Using Time Series Model and PMU Measurements

Dynamic simulation is one of the most important tools for the operation and planning of electric power systems. Accuracy of the dynamic simulation results are directly determined by the accuracy of the equipment model, especially the models of synchronous generators. This paper proposes a time-series-based synchronous generator parameter estimation technique using phasor measurement unit (PMU) data. The generator electromechanical dynamics related parameters are estimated which include generator inertia constant, speed regulation constant, and time constant of the turbine-governor, etc. The classical generator model and swing equation are transformed into a time series model whose parameters can be estimated in an indirect way using linear system parameter identification technology. Once the parameters for the time series model are calculated, the generator parameters can be recovered from the time series model. Simulation results demonstrate the effectiveness of the proposed methodology.