科技创新与应用2024，Vol.14Issue(23)：36-39,4.DOI:10.19981/j.CN23-1581/G3.2024.23.009
基于数据驱动的低压台区拓扑识别技术研究
盛曦 1谢正权 1蒋鑫伟1
作者信息
- 1. 威胜信息技术股份有限公司,长沙 410000
- 折叠
摘要
Abstract
Based on data-driven methods,this paper proposes a low-voltage substation topology recognition technology to solve the problems of low efficiency and high cost in traditional manual survey and model matching methods,and it is proposed to use smart meters and other IoT devices to obtain real-time electricity consumption data in the low-voltage power grid.Then,through data mining and machine learning techniques,analyze multi-source data such as current,voltage,and power to extract potential topology information.On this basis,combined with topology analysis algorithms,a low-voltage substation topology model was established.The effectiveness and robustness of the proposed method have been verified through case studies of actual low-voltage substation areas.Compared with traditional methods,this technology can more real-time and accurately identify the topology structure of low-voltage substations,providing a new means for monitoring,operation,and maintenance of power systems.This study has important practical application significance for promoting the intelligent development of power systems and improving the reliability and controllability of distribution networks.关键词
数据驱动/低压台区/拓扑识别/智能电网/机器学习Key words
data-driven/low-voltage substation/topology recognition/smart grid/machine learning分类
信息技术与安全科学引用本文复制引用
盛曦,谢正权,蒋鑫伟..基于数据驱动的低压台区拓扑识别技术研究[J].科技创新与应用,2024,14(23):36-39,4.
