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配电网中新型馈线自动化技术的研究进展与应用趋势 被引量:6

Research Progress and Application Trend of New Feeder Automation Technology in Distribution Network
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摘要 随着电力需求的持续增长与用户供电可靠性要求的不断提升,馈线自动化技术作为提升配电网供电可靠性的关键手段,经历了从传统就地式、集中式到智能分布式的发展演变。智能分布馈线自动化技术通过先进的通信手段实现各馈线终端单元的信息交互与协同工作,有效提高了故障处理的速度和准确性。文中综述了智能分布馈线自动化技术的研究进展,包括其理论原理、通信技术支撑与物联网及自适应技术的融合应用等。文中分析了当前所面临的挑战,例如分布式能源接入带来的故障定位与方向判断难度增加等,展望了智能分布馈线自动化技术的发展趋势,包括与人工智能技术的深度融合、面向分布式能源接入的技术优化以及提升供电可靠性与电能质量等方面的技术创新。 With the continuous growth of power demand and the escalating reliability requirements for power supply to users,feeder automation technology has emerged as a crucial means to enhance the reliability of power distribution networks,evolving from traditional local and centralized modes to intelligent distributed modes.Intelligent distributed feeder automation technology leverages advanced communication technology to enable information interaction and collaborative work among feeder terminal units,significantly improving the speed and accuracy of fault handling.This study reviews the research progress of intelligent distributed feeder automation technology,including its technical principles,communication technology support,and integrated applications with the internet of things and adaptive technologies.The current technical challenges are analized,such as increased difficulty in fault location and direction judgment due to the integration of distributed energy sources.The development trends of intelligent distributed feeder automation technology are prospected,including deep integration with artificial intelligence,technical optimization for distributed energy source integration,and technological innovations to improve power supply reliability and power quality.
作者 孙戬全 贾有成 包玉林 汪正森 SUN Jianquan;JIA Youcheng;BAO Yulin;WANG Zhengsen(State Grid Xining Power Supply Company,State Grid Qinghai Electric Power Company,Xining 810003,China)
出处 《电子科技》 2025年第6期89-94,共6页 Electronic Science and Technology
基金 国家自然科学基金(U1866201)。
关键词 馈线自动化 配电网 故障处理 物联网 自适应 分布式能源 feeder automation distribution network fault handling processing internet of things adaptive distributed energy resources
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