基于云架构下的电网动态矢量切片技术研究

Research on Power Grid Dynamic Vector Slicing Technology Based on Cloud Architecture

为实现对电网的动态监控,本研究基于云架构设计了一种电网动态矢量切片技术。通过在云构架中采用大数据挖掘方法实现对电网动态矢量切片大数据的有效采集,进行电网动态矢量特征的有效分析,并完成电网动态矢量云构架融合。基于此,通过电网动态矢量状态参数估计结果实现对电网动态矢量切片的管理与输出控制。仿真结果表明:该技术对切片资源分配的均衡度较高,且应用该技术后电网输出电压稳定。

In order to realize dynamic monitoring of power grid, this paper designs a dynamic vector cutting technology of power grid based on cloud architecture. The cloud architecture adopts the big data mining method to realize the effective collection of big data of dynamic vector slice of power grid, so as to complete the effective analysis of dynamic vector characteristics of power grid and complete the fusion of dynamic vector cloud architecture of power grid. Based on this, the dynamic vector state parameter estimation results are used to realize the management and output control of dynamic vector slices of power grid. The simulation results show that this technology has a higher equalization degree to slice resource allocation, and the output voltage of the grid is more stable after the application of this technology.