Research on Typical Scenario Generation Based on Distribution Network Data Mining and Improved Policy Clustering

As the construction of the new type of power system, the high proportion of the distributed power grid, the electric car charging load is increased, make the distribution network scenarios cannot adapt to the current operation mode, in view of the current distribution network scenarios cannot adjust to the problems in operation mode, put forward an improved strategy based on multiple load evaluation model and the distribution network of clustering method to generate scenario. First, building the appraisal model of multiple load distribution network, through the model for regional assessment and scoring load, will score results using K-means clustering initial scenario, secondly, as the guidance, can use different way to design of initial scenario, can get different use type set in the middle of the scene, finally by improving strategy clustering method to analyze the middle scene set, The typical scenario set of distribution network is obtained. Simulation results show that the proposed method can effectively provide support for regional distribution network planning of new power systems with multi-type energy participation.