摘要
为了提高对电网调度信息的全局监控和传输控制能力,构建电网调度信息智能传输控制模型,文中采用多分布的传感信息采样方法对电网运维数据进行采样,对采集到的信息进行特征提取和属性判别,采用大数据融合聚类分析方法进行电网调度信息的模糊聚类处理,结合物联网技术部署电网调度信息全局监控的节点;采用ZigBee组网协议进行组网设计,根据电网调度信息的大数据采样和融合结果实现对电网调度信息的全局监控。仿真实验结果表明,该方法下的电网调度信息全局监控过程自适应性和稳定性较好,监控覆盖率较高,提高了对电网调度的全局监控能力。
In order to improve the global monitoring and transmission control ability of power grid dispatching information,the intelligent transmission control model of power grid dispatching information is constructed.The multi-distributed sensing information sampling method is used to sample the grid operation and maintenance data,and the collected information is extracted and attribute discrimination.Big data fusion clustering analysis method is adopted for fuzzy clustering processing of power grid scheduling information,and IoT technology is combined to deploy nodes for global monitoring of power grid scheduling information.ZigBee networking protocol is used for network design to global monitor grid scheduling information based on Big data sampling and fusion results.The simulation results show that the global monitoring process of grid dispatching information under this method has better adaptability and stability,higher monitoring coverage,and the global monitoring capability of grid dispatching is improved.
作者
韦雅
田珂
丁博
张岚
李强
WEI Ya;TIAN Ke;DING Bo;ZHANG Lan;LI Qiang(State Grid Henan Electric Power Research Institute Customer Service Center,Zhengzhou 450000,China;State Grid Henan Electric Power Company,Zhengzhou 450000,China;State Grid Henan Information&Telecommunication Company,Zhengzhou 450000,China)
出处
《信息技术》
2020年第3期144-147,共4页
Information Technology
关键词
物联网
电网调度信息
全局监控
模糊聚类
IoT
power grid scheduling information
global monitoring
fuzzy clustering
