基于电力大数据技术的配电台区拓扑关系识别流程研究

Recognitionflow of substation topological relationship based on power big data technology

随着智能采集系统在电力网络的部署,配电台区安装的智能融合终端能够为拓扑关系识别提供云技术和边缘计算的相关数据。提出了一种基于融合终端识别的配电台区拓扑关系识别方法。首先分析了拓扑识别技术的原理和算法,对比分析了各方法的优缺点,提出了知识图谱、皮尔逊算法和大数据分析的综合识别方法。给出了配电台区拓扑识别的边界条件,说明了本方法的实现步骤。最后以实际算例进行仿真分析,说明了加装带量测剩余电流动作保护器的拓扑识别结果。

With the deployment of intelligent collection systems in power networks,intelligent fusion terminals installed in the station area can provide cloud technology and edge computing related data for topological relationship recognition.A method of identifying topological relations between stations based on fusion terminal identification is presented.First,the principles and algorithms of topology recognition technology are analyzed,the advantages and disadvantages of each method are analyzed,and a comprehensive recognition method of knowledge graph,Pearson algorithm and big data analysis is proposed.The boundary conditions of the station topology recognition are given,and the implementation steps of the method in this paper are explained.Finally,an actual calculation example is used to simulate and analyze the topology recognition results of the additional protective device with measuring residual current.