Research On Selection And Calibration Of Problematic Parameter Of Power System Simulation Error Based On Trajectory Sensitivity

Dynamic simulation is an important tool to learn the dynamic behavior characteristics of power system.The safe operation,control,decision-making,analysis and planning of power system all depend on reliable dynamic simulation results.There are many situations in the power system where dynamic simulation cannot accurately reflect the actual behavior of the system.Improving the reliability of simulation has become an imperative task.The inaccurate model parameters used in the simulation are the main factors leading to unreliable dynamic simulation results.Power system dynamic simulation model validation is an effective means to verify the accuracy of simulation models and parameters.In model validation,if the simulation curve is discrepant with the measured data,it is necessary to improve the accuracy of model parameters through parameter calibration.The accurate selection of the dominant parameters of the simulation error is the premise of the effective practice of parameter calibration.Trajectory sensitivity can incarnate the influence of tiny changes in model parameters on dynamic trajectories,and is widely used in dominant parameter selection.In the existing studies,there are few special studies on the selection method of the dominant parameters of simulation error,causing the lack of theoretical basis.Moreover,only a few characteristics of trajectory sensitivity are extracted from the perspective of time domain,which fails to fully exploit the dynamic information contained in it,and it is difficult to explain the rationality of the selected dominant parameters.Meanwhile,although existing studies have proposed many parameter calibration methods,there is a lack of research on the calibration targets,and the measurement data is not fully utilized.Advanced research is expected.Aiming at the above problems,this paper studies the selection and calibration method of the dominant parameters of the simulation error based on trajectory sensitivity.The main work of this paper can be summarized as follows:（1）The fundamental theory of trajectory sensitivity is introduced.From the perspectives of time domain and frequency domain,characteristic extraction methods of trajectory sensitivity are proposed.In the time domain of voltage trajectory sensitivity,a time-domain characteristic evaluation indicator is constructed.For trajectory sensitivity of active power,Prony method is applied to extract oscillation features.In the frequency domain,the frequency-domain characteristics of the trajectory sensitivity and its extraction method are studied,and the evaluation indicators of the frequency-domain characteristics of trajectory sensitivity are constructed,including the average amplitude indicator and the amplitude ratio indicator.（2）Based on the characteristic extraction methods of trajectory sensitivity,a method and process for selecting dominant parameters of voltage and active power simulation errors are proposed.For voltage,the time-domain characteristics of trajectory sensitivity is used to select dominant parameters.For active power,a comprehensive influence indicator is constructed to evaluate the ability of parameters to influence active power curve.The dominant parameters are selected by using the time-domain and frequency-domain characteristics of the trajectory sensitivity,respectively.（3）The numerical indicators and characteristic indicators of simulation error evaluation are introduced.The total error energy indicator is used as the calibration target.Based on the classical particle swarm optimization algorithm,a multi-objective master-slave particle swarm optimization algorithm is constructed,which is used for parameter calibration considering multi-disturbance scenarios.The multi-disturbance parameter calibration method and process are proposed,together with a comprehensive simulation error indicator to evaluate the overall multi-disturbance simulation error.In this paper,an IEEE 10-machine 39-node system case is introduced to demonstrate the efficacy of the proposed method for selecting dominant parameters,and an actual disturbance case of 2# machine in BC power plant is used to demonstrate the validity of the proposed multi-disturbance parameter calibration method.The results show that the proposed method can accurately select the dominant parameters of simulation errors,effectively improve the accuracy of model parameters and the reliability of simulation,and provide important theoretical support for the model validation of dynamic simulation of power systems.