基于随机几何的智能电网计量设备时空动态定位模型  

SPATIOTEMPORAL DYNAMIC POSITIONING MODEL OF SMART GRID METERING EQUIPMENT BASED ON RANDOM GEOMETRY

作　　者：李贵民 张淞珲 徐新光 郭亮 刘涛 王者龙 Li Guimin;Zhang Songhui;Xu Xinguang;Guo Liang;Liu Tao;Wang Zhelong(State Grid Shandong Electric Power Company,Jinan 250003,Shandong,China;Marketing Service Center,State Grid Shandong Electric Power Company,Jinan 250003,Shandong,China)

机构地区：[1]国网山东省电力公司,山东济南250003 [2]国网山东省电力公司营销服务中心,山东济南250003

出　　处：《计算机应用与软件》2025年第3期311-318,共8页Computer Applications and Software

基　　金：国网山东省电力公司科研基金规划重点课题项目(SD-WZ-(2019)034022)。

摘　　要：为了实现智能电网的时空动态观测,并且优化计量设备的配置,提出一种基于随机几何的智能电网计量设备时空动态定位模型。随机几何工具建模能够通过总线描述电网的空间性质,还能够捕捉电网的时间扩展;利用K均值聚类算法将电网分为子网并进行聚类,进一步通过一个有约束的有限时域马尔可夫决策过程算法来解决预算限制下的设备优化配置问题,仿真结果表明了该方法的有效性。In order to realize the spatiotemporal dynamic observation of smart grid and optimize the configuration of metering equipment,a spatiotemporal dynamic positioning model of smart grid metering equipment based on random geometry is proposed.Stochastic geometry modeling tool described the spatial properties of power grid through bus,and also captured the time expansion of power grid.The K-means clustering algorithm was used to divide the power grid into sub networks and cluster them.A constrained finite time domain Markov decision process algorithm was used to solve the equipment optimal configuration problem under budget constraints.Simulation results show the effectiveness of the proposed method.

关 键 词：智能电网 时空动态观测 随机几何 K均值聚类 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM715[自动化与计算机技术—控制科学与工程]