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基于时间同步和高频载波信号衰减的拓扑自动识别技术 被引量:5

Topology automatic identification technology based on time synchronization and high frequency carrier signal attenuations
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摘要 拓扑自动识别是配电领域开展线损精益化管理、故障精确定位以及促进低压台区智能运维水平提升的关键因素。为了提高低压拓扑结构识别准确性,结合配电物联网体系架构提出一种基于时间同步和高频载波信号衰减的拓扑自动识别技术。以台区智能融合终端为核心,首先分析了为实现低压台区拓扑识别所需满足的技术基础;然后从理论角度推导了台区拓扑自动识别技术原理,并以典型台区拓扑结构为例明确了拓扑识别具体步骤;最后通过在试点台区开展实际应用,实现了从台区低压进线侧到线路侧分支箱,再到用户表箱的物理拓扑结构识别,并进行低压台区拓扑校核,保证了拓扑识别的准确性。 Automatic topology identification is the key factor to carry out lean line loss management, accurate fault location and promote the improvement of intelligent operation and maintenance level in low-voltage substation area.In order to improve the accuracy of low-voltage topology identification, combined with the architecture of distribution internet of things, this paper proposes an automatic topology identification technology based on time synchronization and high-frequency carrier signal attenuation.Taking the station area intelligent fusion terminal as the core, this paper first analyzes the technical basis to realize the topology identification of low-voltage station area, then from the theoretical point of view, the technical principle of automatic identification of station topology is deduced, and the specific steps of topology identification are clarified by taking a typical station topology as an example.Finally, through the pilot application in the stock station area, the physical topology identification from the low-voltage outlet cabinet in the station area to the line side branch box, and then to the user table box is realized, and the topology check of the low-voltage station area is carried out to ensure the accuracy of topology identification.
作者 李军 付志达 田野 王陈园 张梓欣 刘宗振 张猛 刘一涛 朱义东 LI Jun;FU Zhida;TIAN Ye;WANG Chenyuan;ZHANG Zixin;LIU Zongzhen;ZHANG Meng;LIU Yitao;ZHU Yidong(Shandong Electrical Engineering&Equipment Group Co.,Ltd.,Jinan 250022,China;Electric Power Research Institute of Liaoning Power Grid Co.,Ltd.,Shenyang 110000,China)
出处 《供用电》 2022年第7期64-70,共7页 Distribution & Utilization
基金 国家电网有限公司总部科技项目“基于云边端协同的配电网络拓扑自识别关键技术研究及应用”(5400-202028111A-0-0-00)。
关键词 低压台区 拓扑识别 台区智能融合终端 电力线高频载波 信号衰减 时间同步 low voltage station area topology identification station area intelligent fusion terminal power line high frequency carrier signal attenuation time synchronization
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