全维度智能变电站设备状态监测关键技术研究

近年来,在电网的节能化和智能化过程中应用大量的物联网(IoT)设备,解决了因变电站设备繁多而引起的信息孤立、难共享、难整合等问题。将物联网技术引入到变电站设备状态监测中,提出了变电站设备IoT全维度体系架构和变电站设备无线监测网络拓扑方案。在GSO算法基础之上,优化算法对信息模型进行扩展,建立可以承担海量数据的变电站设备状态监测全维度信息模型,并设计了变电站设备监测网络结构。针对不同节点系统进行综合仿真研究,结果表明,该算法有效降低了变电站功率损耗,改善了电压分布,为智能变电站建立全维度设备状态监测系统提供参考。

Research on Key Technologies of Condition Monitoring of Full-Dimensional Intelligent Substation Equipment

In recent years,with the development of energy-saving and intelligent,a large number of Internet of Things(IoT)devices have been generated in the smart grid,which solves the problems of isolation,difficulty in sharing,and difficulty in integration of information caused by a large number of substation equipments.The IoT technology is introduced into the condition monitoring of substation equipment to help power companies obtain uniform technical standards in the equipment condition monitoring system.Meanwhile,based on the GSO algorithm,this paper proposes a new binary group search optimization algorithm.The information model is extended to establish a full-scale information model that can undertake massive data and serve the condition monitoring of substation equipment,and design the corresponding substation equipment monitoring network structure.Finally,a comprehensive simulation research is carried out on different nodes system,and the results show that the algorithm effectively reduces substation power loss,and the voltage distribution is also improved,which provides a technical theoretical reference for the actual intelligent substation to establish a full-dimension equipment condition monitoring system.