Research On Multi Variable Advanced Identification Method For Pumped Storage Machines

With the development of wind power and nuclear power,the impact of power grid accident is becoming more and more serious,and the security and stability of power grid is becoming increasingly important.In order to improve the relationship between power grid and wind power,nuclear power,and ensure the safety and stability of the power grid,it is important to construct pumped storage power stations.Pumped storage m is the key equipment of pumped storage power station,the accurate establishment of its model is of great significance.This dissertation will study the identification of pumped storage machines model based on identification algorithm,so as to accurately analyze the operating state of pumped storage machines,and ensure the reasonable design of pumped storage machines as well as the power system stability.The pumped storage machines closed-loop subspace identification.First,the model of pumped storage machines based on the closed loop subspace identification process is introduced,and the closed loop subspace identification algorithm frame of the pumped storage machines is designed.Then,the nonlinear model of pumped storage machines is constructed by the closed loop control object.Then the identification algorithm can be selected and designed.The main purpose of identifying the pumped storage machines is to obtain the precise mathematical model of the pumped storage machines,and then improve the control effect of the pumped storage machines.The closed-loop identification model based on the closed loop nonlinear model can be used to identify the pumped storage machines and can be used in the adaptive control process of the pumped storage machines.Finally,based on the closed-loop identification model of pumped storage machines,the motor parameter identification error is studied.The correlation function subspace identification of pumped storage machines is carried out.The correlation function method is used to improve the subspace identification algorithm.The unbiased estimation of the linear system under the closed loop condition can be realized,the pumped storage machines model based on the extended Calman filter is established,the model cooperative work cycle identification algorithm is constructed,and the sub space identification algorithm of the block Hankel matrix is adopted to realize the system.The effective identification of the parameter matrix.The experimental results verify the effectiveness of the proposed algorithm in parameter identification of pumped storage machines speed,rotor resistance,excitation inductance and other parameters.The basic idea is based on the shift invariance characteristic of the pumped storage machines model,and the effective estimation of the pumped storage machines model is realized through the correlation function subspace identification process,and the effective establishment of the pumped storage machines model is realized.The load identification problem of pumped storage machines under stable operation condition is studied.The method is based on the bilinear model of the subspace identification strategy,and the performance of the algorithm is verified by simulation.The results show that,although the pumped storage machines model has the characteristics of strong nonlinearity and coupling in theory,it is difficult to construct the model by mathematical method,but the subspace identification strategy based on the bilinear model can better realize the identification of the model type of pumped storage machines,and it has a high identification.Precision.The pumped storage machines model obtained by this method can be applied to the controller design of pumped storage machines to improve the control effect of pumped storage machines.A GPC controller with learning function is proposed for the predictive control of pumped storage machines.For the pumped storage machines with different working conditions,this method can achieve better control effect and can effectively reduce the computational complexity of the on-line identification of the control process.Through the simulation test on the standard test function and the selected pumped storage machines actual unit,the control superiority of the proposed method on two indexes of control precision and control efficiency is verified,and the speediness of the control response of the control process caused by the sudden change of working condition is verified.In this dissertation,the model identification and control method of pumped storage machines is studied.Through the comparison and analysis of simulation and experimental results,the validity of the model identification method of pumped storage machines is verified.The experimental data provided in this dissertation is of great value for the real pumped storage electric machine,which is of practical guiding significance in the realization of its model identification and control process.