| As an important tool to master the dynamic characteristics of power system,the reliability of power system dynamic simulation results directly affects the safe and stable operation of the system.The analysis of many accidents and large disturbance tests at home and abroad shows that the inaccuracy of simulation component model parameters is the main reason for the credibility of simulation results,and simulation model verification is an effective means to solve the credibility of simulation.In the process of simulation model verification,the simulation correctable domain is the region where the component model parameters that have a dominant impact on the simulation results exist.Identifying such a region is of great significance to reduce the cost of simulation model verification and improve the reliability of simulation.In recent years,with the popularization and application of wide area measurement system（Wide-Area Measurement System,WAMS）,a large number of measured data are provided for the verification of power system simulation model.How to use the rich measured data information and take effective methods to identify the correctable domain of simulation is an urgent problem to be solved.Based on this,the following research work is carried out in this paper:（1）The realization principle of power system block decoupling dynamic simulation is described in detail,which provides a basis for network block;At the same time,the characteristics of the existing simulation error evaluation indexes are compared and analyzed,and the relative simulation error energy index is proposed to quantitatively evaluate the difference between the simulation and the measured trajectory as the error evaluation index to identify the correctable domain of the simulation.（2）Through statistical analysis of multiple disturbance events recorded by WAMS,a characteristic index system is established from the perspective of multi-dimensional information to reveal the dynamic temporal and spatial distribution characteristics of relevant electrical quantities in power system,and intuitively reflect the propagation process and influence range after disturbance;The simulation depth can be used as an important constraint to identify and correct the disturbance.（3）Aiming at the problem that the large-scale power system contains many component model parameters and it is difficult to locate the simulation correctable domain,a recognition method of simulation correctable domain based on breadth first search is proposed in this paper.According to the excitation degree of dynamic characteristics of different regions in the disturbance depth evaluation system,combined with the spatial distribution characteristics of simulation errors,set the corresponding threshold,and use the breadth first search method to form the power system spanning tree in the key region to complete the identification of simulation correctable domain.（4）Considering the limited distribution of synchronous phasor measurement units（Phasor Measurement Unit,PMU）in actual power system,a simulation correctable domain identification method based on network blocking method is proposed in this paper.The system network is equivalent to an undirected graph,and the system is partitioned by using the adjacency matrix method.Then the node with a large degree of disturbance is selected according to the disturbance depth,and the relative simulation error energy of the branches is calculated to obtain the optimal cut set,so as to achieve the purpose of efficiently identifying the correctable region of the simulation.The effectiveness of the proposed method is verified by practical examples,which shows that the identification of simulation correctable domain can effectively reduce the calculation cost of simulation model verification and improve the efficiency of simulation error traceability. |
PDF Full Text Request