电测与仪表2024，Vol.61Issue(7)：34-40,7.DOI:10.19753/j.issn1001-1390.2024.07.006
基于微型PMU数据挖掘的智能配电网态势感知方法研究
Research on situation awareness method of smart distribution network based on micro PMU data mining
摘要
Abstract
The situation awareness of smart distribution network is an important foundation for the reliable,economic and safe operation of the distribution system.The scale and type of its data are growing rapidly,showing typical char-acteristics of power big data.As the data collected and processed by the micro PMU system of smart distribution net-work has a tendency of massive growth,this paper introduces a situation awareness method of smart distribution net-work based on micro PMU data mining,which can judge the system security state quickly and accurately.The meth-od firstly uses moving and dynamic time windows to further mine the typical characteristics of various events,and then,performs hierarchical labeling according to region selection and event types,reducing the computational dimen-sion of machine learning algorithms and improving computational efficiency.Afterwards,this paper designs three types of classifiers and compares them with the other two types of classifiers.Through the test data of the example,it is concluded that the performance indicators of the proposed classifier are excellent,which shows that the classifi-er has important reference value for the establishment of situation awareness system of smart distribution network.关键词
微型PMU/机器学习/智能配电网/态势感知/电力大数据Key words
micro PMU/machine learning/smart distribution network/situation awareness/big data分类
信息技术与安全科学引用本文复制引用
李欣桐,俞小勇,阳国燕,秦丽文,欧世锋..基于微型PMU数据挖掘的智能配电网态势感知方法研究[J].电测与仪表,2024,61(7):34-40,7.基金项目
南方电网有限责任公司科技项目(GXKJXM20190607) （GXKJXM20190607）
