配电网络故障定位与恢复的智能化配电自动化技术探究  

Research on Intelligent Distribution Automation Technology for Distribution Network Fault Location and Recovery

作　　者：刘秉欣 于海 LIU Bingxin;YU Hai(State Grid Shandong Electric Power Company Longkou Power Supply Company,Yantai 265700,China)

机构地区：[1]国网山东省电力公司龙口市供电公司,山东烟台265700

出　　处：《通信电源技术》2024年第12期215-217,共3页Telecom Power Technology

摘　　要：随着电力需求的不断增长,配电网络的故障定位与恢复成为一个日益重要的问题。本研究的目的是利用智能化配电自动化技术解决配电网络故障定位与恢复的问题。文章分析现有的电网络故障定位与恢复技术,结合并应用人工智能与数据挖掘等技术,提出新的智能配电自动化系统来自动定位与恢复配电网络的故障,并通过模拟实验验证了系统的可行性与有效性。结果显示,该智能化配电自动化技术对于故障定位与恢复具有显著的优势,新系统能够在故障发生时迅速准确地定位故障点,并采取相应措施进行恢复,从而有效提升配电网络的可靠性与稳定性。本研究为配电系统的智能化管理提供了一种有效的解决方案,为相关领域的发展提供了有益的探索与实践基础。With the continuous growth in electricity demand,the localization and recovery of faults in distribution networks have become increasingly important issues.The purpose of this study is to utilize intelligent distribution automation technology to address the problem of fault localization and recovery in distribution networks.The article analyzes existing techniques for fault localization and recovery in distribution networks and proposes a new intelligent distribution automation system that integrates artificial intelligence and data mining technologies.The feasibility and effectiveness of the system are validated through simulated experiments.The results demonstrate significant advantages of this intelligent distribution automation technology in fault localization and recovery.The new system is capable of swiftly and accurately identifying fault points when faults occur and implementing corresponding measures for recovery,thereby effectively enhancing the reliability and stability of distribution networks.This study provides an effective solution for the intelligent management of distribution systems,laying a beneficial foundation for exploration and practice in related fields.

关 键 词：配电网络 故障定位 智能化 自动化技术 数据挖掘 

分 类 号：TM76[电气工程—电力系统及自动化]