换流站复杂工况下物联感知网络通信效能评估体系与模型

Evaluation System and Model for Communication Effectiveness of IoT Sensing Networks Under Complex Working Conditions in the Converter Station

数字换流站是新型电力系统建设的枢纽节点,以融合终端为核心的物联感知网络是数字换流站物联感知体系的关键基础设施。数字换流站内复杂的电磁环境及高低温、盐雾腐蚀、交变湿热等工况条件下多种物理场相互作用和叠加,这些耦合干扰会影响换流站物联感知网络设备的通信效能,降低物联感知网络通信性能和服务质量,影响数字换流站全面智能感知能力和高效的智慧运检水平。针对缺乏数字换流站复杂电磁干扰与多物理场影响下物联感知网络通信效能有效评估方法这一问题,文章从基本通信能力、业务保障能力、生存保障能力和资源利用能力4个层面出发,建立多级分层的换流站物联网通信效能评估体系,在此基础上,采用支持向量机算法构建评估模型,实现对数字换流站物联感知网络通信效能的快速、准确评估,提升物联感知网络对换流站高效运行和数字化建设的支撑能力。

The digital converter station is the hub node of a new type of power system construction,and the IoT sensing network with fusion terminals as the core is the key infrastructure of the IoT sensing system in the digital converter station.The complex electromagnetic environment and high and low temperature,salt spray corrosion,alternating heat,and humidity conditions in the digital converter station under the interaction and superposition of a variety of physical fields,these coupled interference will affect the communication effectiveness of IoT sensing network equipment in the converter station,reduce the IoT sensing network communication performance and quality of service,and affect the digital converter station comprehensive intelligent sensing capabilities and efficient intelligent operation and inspection level.Aiming at the lack of effective evaluation methods for IoT sensing network communication efficiency under complex electromagnetic environment and multi-physical fields in the digital converter station,this paper establishes a multi-level and hierarchical IoT communication effectiveness evaluation system in the converter station from four levels:basic communication capabilities,service guarantee capabilities,survival security capacity and resource utilization ability.On this basis,the support vector machine(SVM)algorithm is used to construct an evaluation model,so as to attain a speedy and precise evaluation of IoT sensing network communication effectiveness in the digital converter station and enhance the support capability of IoT sensing networks for efficient operation and digital construction of converter stations.