基于数字孪生技术的变电站运行状态信息自动集成方法  

Automatic Integration Method of Substation Operation Status Information Based on Digital Twin Technology

作　　者：刘帆 丁争 吴耀兰 朱江虹 LIU Fan;DING Zheng;WU Yaolan;ZHU Jianghong(Xianning Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Xianning,Hubei 437000,China)

机构地区：[1]国网湖北省电力有限公司咸宁供电公司,湖北咸宁437000

出　　处：《自动化应用》2024年第19期182-184,共3页Automation Application

摘　　要：由于变电站状态监测信息与设备运行数据离散性高,存在导致信息特征融合不准确的问题,导致集成容错性低。为此,提出基于数字孪生技术的变电站运行状态信息自动集成方法。利用机器学习算法进行数据采集,对采集的状态信息分类过滤,建立物理与虚拟变电站的层次映射关系,求取数据特征融合值域。结合数字孪生嵌入维数,融合运行状态信息,进而求取局部数据库分配系数与状态算子,通过统一语义目标函数实现自动化集成。实验表明,所设计方法的信息集成容错性高,性能优异。Due to the high discreteness of substation condition monitoring information and equipment operation data,there is a problem that leads to inaccurate fusion of information features,resulting in low integration fault tolerance.Therefore,an automatic integration method of substation operating status information based on digital twin technology is proposed.The machine learning algorithm is used to collect data,classify and filter the collected state information,establish the hierarchical mapping relationship between physical and virtual substations,and obtain the data feature fusion range.Combined with digital twin embedding dimension,fused running state information.Then the allocation coefficient and state operator of the local database are obtained,and the automatic integration is realized through the unified semantic objective function.Experiments show that the proposed method has high fault tolerance and excellent performance.

关 键 词：数字孪生技术 变电站 信息序列 特征融合 信息集成 

分 类 号：TM769[电气工程—电力系统及自动化] TP277[自动化与计算机技术—检测技术与自动化装置]