东北电力技术2025，Vol.46Issue(2)：15-18,4.
电力物联网环境下的配网线损智能诊断方法
Intelligent Diagnosis Method for Distribution Network Line Loss in Environment of Power Internet of Things
刘骞1
作者信息
- 1. 国网河南省电力公司营销服务中心,河南 郑州 450052
- 折叠
摘要
Abstract
The operation status of the distribution network changes over time,and the line loss situation also fluctuates accordingly.Therefore,it needs real-time or near real time data processing and analysis capabilities to adapt to the dynamically changing power grid environment.Therefore,an intelligent diagnosis method for distribution network line loss in the context of the power Internet of Things is proposed.Firstly,it processes the operation data of distribution network by hierarchical fusion,using improved random forest algo-rithm to predict distribution network line loss rate.Secondly,based on a semi supervised learning framework and radial basis function neural network,it constructs a line loss diagnosis model to achieve intelligent diagnosis of distribution network line loss.Finally,the experimental results show that the research method has high accuracy in predicting the distribution network line loss rate in the power Internet of Things environment,and can accurately diagnose line loss faults of different devices.关键词
电力物联网/配网/线损/智能诊断Key words
power Internet of Things/distribution network/line loss/intelligent diagnosis分类
动力与电气工程引用本文复制引用
刘骞..电力物联网环境下的配网线损智能诊断方法[J].东北电力技术,2025,46(2):15-18,4.
