摘要
本文提出基于循环神经网络的智能配网设备运行维护技术对配电网设备维护。该技术对智能配电网设备运行数据进行有效采集和预处理,然后构建设备运行状态指标,根据设备运行状态判别结果,针对性的提出了配网设备运行维护方案。结果表明:应用本文维护技术后,配电网的运行成本及外网入侵率有了很大的降低。
This article proposes an intelligent distribution network equipment operation and maintenance technology based on recurrent neural networks for the maintenance of distribution network equipment.This technology effectively collects and preprocesses the operation data of intelligent distribution network equipment,and then constructs equipment operation status indicators.Based on the discrimination results of equipment operation status,targeted operation and maintenance plans for distribution network equipment are proposed.The test results show that after applying the maintenance technology in this article,the operating cost and external network intrusion rate of the distribution network have been greatly reduced.
作者
冯蕾
Feng Lei(State Grid Shaanxi Electric Power Company Limited Zhouzhi County Electric Power Supply Branch,Xi'an,China)
出处
《科学技术创新》
2024年第23期195-198,共4页
Scientific and Technological Innovation
关键词
循环神经网络
智能配电网
运行状态
维护技术
recurrent neural network
intelligent distribution network
operation status
maintenance technology