基于数据驱动的智能电网故障预测与精确定位技术研究
Analysis of Fault Location Technology for Intelligent Grid Dispatching Control System Supported by Data Driven Graph Model
陈倩1
作者信息
- 1. 国网汉中供电公司,陕西汉中 723000
- 折叠
摘要
为保证智能电网安全高效运行,研究其故障预测及定位技术极为关键.文章应用大数据驱动的图分析方法,通过构建数字孪生电网实现对故障过程的主动捕捉和智能调度.分析了智能电网调度控制系统故障定位技术面临的挑战,提出数据驱动图模型实现故障的智能化定位,阐述定位原理和关键技术.通过具体案例分析,结果表明,数据驱动图模型技术可大幅推动电网对故障过程的主动洞察和智能化处理.
Abstract
In order to ensure the safe and efficient operation of smart grid,it is very important to study its fault prediction and location technology.This paper uses big data-driven graph analysis method to realize active capture and intelligent scheduling of fault process by constructing digital twin power grid.This paper analyzes the challenges of fault location technology in smart grid dispatching control system,puts forward a data-driven graph model to realize intelligent fault location,and expounds the location principle and key technologies.Through the analysis of specific cases,the results show that the data-driven graph model technology can greatly promote the active insight and intelligent processing of the power grid fault process.
关键词
智能电网/调度控制/数据驱动/图模型/故障定位Key words
intelligent grid/dispatch control/data-driven/graph model/fault localization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据