Synchronous Generator Parameter Identification Based On Sensitivity Analysis

With the continuous expansion of power system,the safe operation of the power grid is facing more challenges.Accurate model parameter is the basis of analysis,simulation and fault diagnosis in power system.How to obtain reliable model parameters quickly and accurately is the basic problem of safe operation of power grid.Synchronous generator as an important and complex electrical component in the power system,the accuracy of the synchronous generator has an important influence on the operation of the power system.In this paper,based on the original synchronous generator parameter identification scheme,the parameter sensitivity analysis is added.A parameter identification scheme of synchronous generator based on sensitivity analysis is proposed,and its simulation is verified.The basic principle of parameter identification of synchronous generator is introduced.Based on the basic equations of synchronous generators,several practical models of synchronous generators are derived.Describes the basic concept of identification,and the basic process of parameter identification of synchronous generator is introduced,and the particle swarm optimization algorithm used in parameter identification of generators is described.The sensitivity analysis of synchronous generator parameters is described in detail.Using trajectory sensitivity method as a tool for parameter sensitivity analysis of synchronous generators,introducing the calculation method of the trajectory sensitivity,the trajectory sensitivity is obtained when the excitation voltage is disturbed.The scheme of parameter identification of synchronous generator after sensitivity analysis is determined.Using MATLAB to simulate the operation of synchronous generator.The results of simulation are identified by sensitivity analysis and the results are analyzed.The running state of the synchronous generator under disturbance is simulated,and the parameters of the synchronous generator under disturbance are identified.Compared with the traditional identification scheme and the improved identification scheme,the identification results and advantages and disadvantages of different schemes are compared.A brief introduction of the PMU data and its processing process.Based on the measured data,the identifiability,stability and accuracy of the improved identification scheme are analyzed.And compared the traditional identification scheme and the improved identification scheme under measured data,analyzes the feasibility of the scheme and obtains the ideal experimental result.