Research On Dynamic Simulation And Verification Of Power System Based On Wams Information Of Multi Disturbance Events

Dynamic simulation of power system is the most fundamental basis for the controling,designing and planning of the power system.The security and economy of the power system are closely related to the credibility of simulation results.The simulation and verification of multiple accidents and large disturbance tests at home and abroad shows that simulation results based on model parameters in existing databases can not describe the dynamic behavior of the power system.The inaccuracy of the parameters is considered to be the main cause of the simulation error.The close coupling between components brings great difficulties to the tracing of the source of the simulation error.Popularization and application of wide area measurement system will provide a large number of measured data of disturbance events for correction of power system's parameters of model.Under different disturbance scenes,because of the difference of the dynamic response,correction results are disperse.How to extract information from the measured information of a large number of disturbing scenes.An approach should be developed for the correction of model and its parameters,assessing the reliability of correction results.The following work has been carried out in this paper in view of the above problems.(1)This paper aims at the problem of backtracking of simulation error,on the basis of analyzing the shortcomings of existing hybrid dynamic simulation methods,a hybrid dynamic simulation method based on impact load injection is proposed.This method relies on the inherent models and computing functions of common commercial software,the actual measured data of active and reactive power are directly injected into the boundary.Decoupling simulation of target system(or component)is realized.This method avoid the equivalent error of the external system,the injection of measured data directly and rapidly.(2)Aiming at the problem of the dispersion of correction results,I draw lessons from the probability and statistics.A method of the generator parameters confidence assessment based on the confidence intervals estimation and the classification of disturbance event.Firstly,on the basis of the disturbance depth and the running state of the generator classifying the disturbance scene.Then,based on the WAMS measured data of some different disturbance scene the generator parameters are corrected iteratively.In the light of different disturbance type,group s of leading parameters are recognised.Finally based on the theory of grey confidence,the confidence interval of dominant parameter are calculated.In this paper,the IEEE-39 system and measured data of provincial power grid are used to validate the method.The method can help the power grid dispatcher in mastering the operation behavior of the generator,and provide guidance in selecting simulation parameters and evaluating of the parameters' reliability.