| Dynamic simulation of power system is an important means to grasp the dynamic behavior of the system.The credibility of the simulation results is directly related to the security and economy of power system operation.The analysis of multiple disturbances at home and abroad shows that the simulation results based on the existing model library cannot accurately reflect the true dynamic characteristics of the system.However,in the dynamic simulation verification,the component models that cause errors in the system simulation results are mainly concentrated in a small area,and identifying the error area is extremely important for improving the simulation accuracy.Due to vast of the large-scale power system,the large number of component models,the close coupling between each other,and the complex dynamic process,this poses a huge challenge to identify the error area of the simulation.With the wide application of wide-area measurement systems,a large amount of measured data is provided for the dynamic simulation verification of power systems.How to extract knowledge from the measured data,combined with simulation,it is urgently needed to be solved problem that use effective methods to identify the simulation error areas.The following work has been carried out in this paper in view of the above problems.(1)This article delves into the methods and mathematical principles of hybrid simulation,by comparing the advantages and disadvantages of the existing five measured data injections,the measured data direct injection method is used to achieve hybrid dynamic simulation;Simultaneously,in view of the shortcomings of several existing credibility evaluation indicator,a global discrepancy indicator is proposed,which comprehensively considers the output variable active power and reactive power to evaluate the system simulation credibility.(2)Through analysis of multiple disturbances based on WAMS records,establish the characteristic index system that includes average voltage change rate,maximum relative change,disturbance contribution index,and response time;to reveal the spatio-temporal distribution characteristics of the voltage dynamic response of the power system.We extract knowledge from the measured data from the perspective of multi-dimensional information,and intuitively grasp the propagation process and influence range of the disturbance;On this basis,the concept of the depth of voltage disturbance is defined,and that effect of the spatial and temporal distribution of voltage on the positioning of the error area and analyzed to determine the voltage disturbance depth is an important constraint indicator.(3)Aiming at the problem of difficult localization of large-scale power system simulation error area,a method of recognition error area based on disturbance depth and minimum spanning tree is proposed.Firstly,it is that analyze the voltage dynamic time-space distribution characteristics of the power grid based on the measured data,the corresponding disturbance depth threshold is seted,the decoupling of the regional power grid with small disturbance is removed,the remaining network is equivalent to an undirected graph,and the simulation credibility index is used as the weights of each branches.that are used to obtain the minimum spanning tree and its branches corresponding to the optimal cut set of the corresponding network,and the measured data is injected into the cut set for hybrid simulation.Iterative compression is performed through multiple hybrid simulations to eliminate error-free areas and reduce the range of the error area,finally achieves the purpose of recognition the error area.Finally,the effectiveness of the method proposed in this paper is verified by the IEEE 10 machine 39-node system.The research content of this paper can effectively improve the efficiency of dynamic simulation verification,reduce the cost of error traceability,and provide a reasonable reference for the next decoupling of error components and model parameters correction. |
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