基于跨平台多源数据融合的复杂低压台区拓扑识别方法研究

Research on Topology Identification Method of Complex Low-voltage Platform Based on Cross Platform Multi-source Data Fusion

智慧电网背景下,对配网的管理水平提出了更高要求,传统静态模型无法适应精细化线损和实时调度等应用需求。基于低压电网拓扑识别和宽带电力线载波等技术,借助智慧物联网感知监测终端,提出了基于跨平台多源数据融合的复杂低压台区拓扑识别方法,并进行系统平台的搭建。针对巴彦供电分局下辖小区,对系统平台进行应用实验,实验表明,所提方法能够对电网设备的状态和负荷情况进行多维度交叉分析,形成可视化且适用于整体运维的平台,具有较好的实用性。

Under the background of smart grid,higher requirements are put forward for the management level of distribution network,and the traditional static model can not meet the application requirements of refined line loss and real-time scheduling. Based on low-voltage power grid topology identification and broadband power line carrier technology,with the help of smart Internet of things(IOT)sensing monitoring terminal,a complex low-voltage platform topology identification method based on cross platform multi-source data fusion was proposed,and the system platform was built. Aiming at the district under Bayan power supply bureau,the application experiment of the system platform was carried out. The results show that the proposed method can carry out multi-dimensional cross analysis on the state and load of power grid equipment,and form a visual and suitable for the overall operation and maintenance platform,which has good practicability.