Review on Artificial Intelligence in Substation Operation and Maintenance Management

WANG Liuwang; ZHOU Ziqiang; LIN Long; HAN Jiajia

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Review on Artificial Intelligence in Substation Operation and Maintenance Management

更新时间：2025-12-08

- Review on Artificial Intelligence in Substation Operation and Maintenance Management
- Vol. 46, Issue 1, Pages: 1-13(2020)
- 作者机构：
  
  1. 国网浙江省电力有限公司电力科学研究院
  2. 全球能源互联网研究院有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 January 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
WANG Liuwang, ZHOU Ziqiang, LIN Long, et al. Review on Artificial Intelligence in Substation Operation and Maintenance Management[J]. 2020, 46(1): 1-13.
DOI：

WANG Liuwang, ZHOU Ziqiang, LIN Long, et al. Review on Artificial Intelligence in Substation Operation and Maintenance Management[J]. 2020, 46(1): 1-13. DOI：

摘要

变电站运维管理是人工智能在能源电力系统中的典型应用场景之一

研究以专家系统、传统机器学习及深度学习为主要代表的人工智能技术

对于推动变电站的智能化发展具有重要意义。首先

概述了人工智能技术的发展现状及特点、面临的挑战、发展趋势及热点;然后

结合变电站中基于传感器的遥测系统与基于摄像头的遥视系统的高级功能需求

总结分析了现有将人工智能技术应用于主要电力设备状态评估诊断、变电站安防环境的智能感知、站内人员行为检测判别等典型场景中的研究成果

同时指出当前人工智能技术应用于变电站典型场景时存在的问题;最后

就人工智能技术未来应用于变电站重要设备状态感知和三维全景可视化中的重点突破领域提出了几点建议。

Abstract

The operation and maintenance management of substation is one of the typical application scenarios of artificial intelligence in energy and power system. The artificial intelligence technology

mainly represented by expert system

traditional machine learning

and deep learning

is significant in promoting the development of substation intelligence. Firstly

we summarized the development status and characteristics

challenges

development trends and hot spots of artificial intelligence technology. Then

in combination with the advanced functional requirements of two major information systems in the substation

namely

the remote monitoring system based on sensors and the remote viewing system based on cameras

we analyzed the progress of artificial intelligence technology in typical scenarios such as assessment and diagnosis of major electrical equipment status

intelligent perception of substation security environment

and detection and discrimination of personnel behavior. Meanwhile

we pointed out the problems existing in the current application of artificial intelligence technology in the above-mentioned typical scenarios of substations. Finally

we put forward several suggestions on the key breakthrough areas in the future application of artificial intelligence technology to vital equipment state awareness and 3D panoramic visualization of substations.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于ICEM与NM-TDO-BP的变电站气象灾害风险评估

金属化膜电容器放电特征演变规律与声电联合监测方法

基于投入窗口识别与分层算法的MMC子模块电容状态监测方法

Substation Infrared Image Fuzzy Enhancement Algorithms Based on Improved Adaptive Genetic Theory

Sheath Current in HV Cable Systems and Its On-line Monitoring for Cable Fault Diagnosis

Related Author

LI Yuan

YIN Chunya

SHANG Qiaoyan

ZHENG Linzi

YAN Xinyi

JI Shengchang

ZHU Lingyu

PAN Jianyu

Related Institution

Yiwu Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd.

School of Electrical Engineering, Xinjiang University

Longyou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd.

电工材料电气绝缘全国重点实验室(西安交通大学)

CSG EHV Electric Power Research Institute

AI问答

⁰