基于深度学习的配电网故障预测与智能调度技术分析
Analysis of Distribution Network Fault Prediction and Intelligent Scheduling Technology Based on Deep Learning
冯晨1
作者信息
- 1. 国网江苏省电力有限公司南京市高淳区供电分公司,江苏 211300
- 折叠
摘要
阐述配电网的组成与工作原理、配电网的运行特性与故障类型,提出一种基于深度学习的故障预测与智能调度技术方案,包括数据采集、模型构建和故障特征提取,以及智能调度策略与算法的设计.
Abstract
This paper describes the composition and working principles of the distribution network,the operational characteristics and fault types of the distribution network,and proposes a deep learning based fault prediction and intelligent scheduling technology solution,including data collection,model construction,fault feature extraction,as well as the design of intelligent scheduling strategies and algorithms.
关键词
配网故障预测/智能调度/深度学习/数据处理/模型设计Key words
distribution network fault prediction/intelligent scheduling/deep learning/data processing/model design引用本文复制引用
出版年
2024
NETL
NSTL
万方数据