人工智能在配网故障诊断与处理中的应用  

Application of Artificial Intelligence in Distribution Network Fault Diagnosis and Handling

作　　者：尹征 YIN Zheng(State Grid Hunan Electric Power Co.,Ltd.,Loudi Power Supply Company Louxing Power Supply Branch,Loudi 417000,China)

机构地区：[1]国网湖南省电力有限公司娄底供电分公司娄星区供电支公司,湖南娄底417000

出　　处：《通信电源技术》2024年第24期239-242,共4页Telecom Power Technology

摘　　要：为进一步研究人工智能在配网故障的诊断与处理中的应用,阐述人工智能在提高诊断准确性、增强处理及时性以及提高配网智能化水平方面的重要性。然后,详细介绍机器学习算法和深度学习算法在故障诊断中的具体应用,以及智能调度、预测性维护在故障处理中的实现。该研究旨在为电力系统稳定运行和智能化发展提供参考。In order to further study the application of artificial intelligence in the diagnosis and treatment of distribution network faults,this paper expounds the importance of artificial intelligence in improving the accuracy of diagnosis,enhancing the timeliness of treatment and improving the intelligent level of distribution network.Then,the application of machine learning algorithm and deep learning algorithm in fault diagnosis,and the realization of intelligent scheduling and predictive maintenance in fault handling are introduced in detail.This study aims to provide reference for the stable operation and intelligent development of power system.

关 键 词：人工智能 配网 故障诊断与处理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM711[自动化与计算机技术—控制科学与工程]