Precise Perception Method for Distribution Network Topology Transformation Events Based on Temporal Data Features
In order to grasp the changes in distribution network topology,an automated and precise perception method for distribution network topology transformation events is proposed by mining temporal data features.Firstly,after clarifying the spatial node positions corresponding to the distribution network,adjacent nodes are extracted and the temporal data feature similarity of adjacent nodes in the distribution network is calculated.Then,based on the calculation results,extract the temporal data features of the distribution network.Finally,automatic recognition technology is used to identify the topology of the distribution network and achieve precise perception of changing events.The results show that this method can make the perception results consistent with the actual topology transformation events,and improve the accuracy of distribution network topology transformation event perception.
distribution networkinteractive powerdata featuresperception methodtopology transformation event
万方数据
维普
