Parameter Identification For Excitation System And Transmission Line Based On WAMS

With the development of power system and the introduction of new transmissi-on,calculations of the security and stability and accident analysis of power system face new chanllenges,which requires power system models and parameters with high accuracy.Therefore,parameter identification is more important.As WAMS based on GPS be wildly used, the access for dynamic data of power system has become easier and faster,which provides convenient conditions for parameters identification of power system.The generator excitation is important to stability of power system and the accuracy of its parameters influences simulation result and decision.According to the characteristic of excitation system parameters identification methods and Evolutionary Algorithm,a new scheme is put forward in this paper.Applying dynamic data of PMU,BPF and PSO is applied to parameters identification. Firstly,we can get the parameters of the differential equation of the identified system according to dynamic data and BPF.PSO is introduced to resolve model parameters.According to input and output data,this method identifies parameters in time domain directly.The test results with MATLAE/SIMULINK show that the method in the paper is correct,feasible and valid.Parameters identification for transmission lines is an important work. Single-phase line lumped parameter model,Single-phase line distribution parameter model,Three-phase circuit parameter model and its the formula equation of Port voltage and current is briefly introduced.Particle Swarm Optimization Algorithm (PSO) is used for parameters identification of transmission lines.The steps of parameters identification are presented.The mathematical model of transmission lines is built by ATP-EMTP.It is proved that the principles and measurement system explained in the paper are correct,effective and very useful for power industry.The paper is of some significance.