Research On Accuracy Evaluation Of Generator Speed Control System Model Based On PMU

Power grid scale is continually enlarged in china, the structure is more complex, and power system has higher degree of automation. Therefore, difficulties in maintaining security and stable operation of the power system is growing along with it, so, in order to achieve fast response to faults, we must understand the dynamic characteristics of the power system components, and must be bound to rely on dynamic simulation software. If the simulation results can accurately reflect the dynamic characteristics of the actual system becomes a key problem. The accuracy of the generator model and parameters will directly affect the power system dynamic simulation results. Therefore, the accuracy evaluation of the generator and control system simulation model is significant. In this paper, the work done in the following sections: the realization of hybrid dynamic simulation, software development, quantization error indices and example verification.Firstly, hybrid dynamic simulation is achieved based on phase-shifting transformer method. Differences between the simulation results with measured values are used to verify the validity of the model. External systems are equaled to a phase-shifting transformer and an ideal voltage source. By adjusting the transformer ratio and phase angle, subsystems are accurately simulated. This method is simple and effective, but it is bound to cause errors due to equivalent. Meanwhile, the application scope of hybrid dynamic simulation is researched.Based C # platform, the paper develop an integrated calculation software that contains the whole process of dynamic simulation- generators and speed control system model validation software. The software provides an interface for PMU measured data, combines measurement data and simulation data, improves the accuracy of the simulation model. In this environment, in the case of Fenghe power plant in Henan, generator and speed control system model are analyzed and evaluated by the indices. Eventually, the effectiveness of hybrid dynamic simulation is confirmed and the characterize ability of indices are showed.Evaluating the accuracy of the simulation model need quantify the error indices. Existing error calculation methods has some limitations, and are Unable to reflect response state of the generator and the speed control system. In this paper, accuracy indices were proposed to evaluate the generator dynamic model. These indices used the discrepancy between dynamic simulation results and measurements data to assess the accuracy of generator simulation model, combining primary frequency regulation performance by analyzing the characteristics of grid frequency in time domain. It could reflect not only the differences of simulate results, but also reflect primary frequency regulation characteristics of generators, Thereby laying foundations for further correction of model and parameters. By quantifying the error calculations of the measurement and simulation data, it was confirmed that the proposed error criterion were valid.Finally, in the case of the Henan Fenghe power plant and the 9 node of BPA software, the index system is used for analysis and evaluation. Firstly, three kinds of model, such as the GS, GJ and CCS, is verified by software, then the error of simulation data and PMU data were quantified, by calculating the settlement that three kinds of model parameters is good or bad can be seen in different period of time, also suggest CCS has a stronger ability of primary frequency regulation. The example verification process shows that the hybrid dynamic simulation is valid and the error characterization ability of index system.