Research On Identification Of The Generator Set Under The Environment Of Wide Area Measurement

Power system mathematical model is the basis of power system planning, operation and control. With the rapid development of the current grid, we need the model parameters to be more and more accurate and precise. The advent of WAMS real time data acquisition in power system operation can be real-time collection and upload it to the dispatching center, including the transient data in a variety of disturbances, these data may be used for identification of model parameters. The paper first introduces the WAMS and its application in system identification. Then, for generator model, excitation system, prime mover and governor system, the state space model is established respectively and analysis in detail the feasibility of identification using the nonlinear least square method. Finally, combined with the CEPRI-36buses system example, data collected in the simulation of wide area measurement environment to study the power system model parameter identification, the main results are summarized as follows:Based on the previous results, the identification results of the generating under different disturbance types are emphatically analyzed. The disturbances include the excitation reference voltage step disturbance, the power given disturbance and load step disturbance. The former two disturbances are artificial imposed disturbances, and the last one is system natural disturbance. The fifth-order generator model parameters are identified by nonlinear least squares method. The results show that the generator model parameters can be identified successfully under these three kinds of disturbances.The traditional methods for excitation system and governor identification system are usually not related to the identification of the difference coefficients. The paper attempts to identify the difference coefficients with other parameters. The results show that the parameters can also be identified using the nonlinear least squares method under the three disturbance parameter identification. Then, it is possible that the voltage adjustment and governor system difference coefficient can be got at the power dispatch center sides, which have great significance to the power grid.As the characteristics of the power system WAMS have acquired large amounts of data which has no choice, most of the data fluctuations are small and difficult to identify, the paper attempts to use indicators to measure the fluctuations of some electrical quantities to determine the dynamic data using to identify with sufficient fluctuations in intensity. It is analyzed from three aspects of the data sampling period, the total time and the choice of the electrical quantities, for generator model excitation system, prime mover and governor system, the dynamic data using identifying model parameters have to meet the disturbance intensity index respectively and quantitatively.