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智能变电站光纤虚实回路映射及故障诊断技术 被引量:3

Smart Substation Optical Fiber Virtual and Real Loop Mapping and Fault Diagnosis Technology
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摘要 现阶段智能变电站通信大多采用光纤链接各二次设备,由于装置之间的链接关系不直观,造成监测、诊断困难。为了解决智能变电站运维和检修中存在的二次虚回路可视化、回路状态监测、故障定位及故障类型识别困难等问题,提出基于广度优先搜索算法进行二次设备之间物理链接关系的梳理,实现二次虚回路可视化展示。同时基于广度优先搜索算法进行故障推理,划定故障区域,利用智能变电站海量数据源,进行多信息融合,应用D-S证据理论进行故障精确定位,最后采用举证表法确定故障类型,实现智能变电站二次设备运维的实际应用需求。 At present,most of the smart substation communication uses optical fiber to link the secondary equipment,and the link relationship between the devices is not intuitive,resulting in difficulty in monitoring and diagnosis.In order to solve the problems of secondary virtual loop visualization,loop status monitoring,fault location and fault type identification in the operation and maintenance of smart substations,a smart substation optical fiber virtual and real loop mapping solution is proposed based on the breadth-first search algorithm to realize the visual display of secondary virtual loop.At the same time,the breadth priority search algorithm is used to carry out fault inference and delimit the fault area.The D-S evidence theory is used to accurately locate the faults based on the mass data of smart substation and multi-information fusion,and the evidence table method is used to finally determine the fault types,thereby meeting the practical application needs of the operation and maintenance of secondary equipment in smart substations.
作者 钟鸣 陶军 刘洵宇 杨逸 杨炳元 ZHONG Ming;TAO Jun;LIU Xunyu;YANG Yi;YANG Bingyuan(Inner Mongolia Power Research Institute,Hohhot 010020,China;Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System,Hohhot 010020,China;Inner Mongolia Ultra High Voltage Power Supply Company,Hohhot 010000,China;Inner Mongolia University of Technology,Hohhot 010051,China)
出处 《中国电力》 CSCD 北大核心 2023年第10期171-178,共8页 Electric Power
基金 国家重点研发计划“储能与智能电网技术”重点专项资助项目(规模化储能系统集群智能协同控制关键技术研究及应用,2021YFB2400703) 内蒙古自治区科技攻关项目(灾害条件下多应急电源组网技术研究及示范应用,2019GG373)。
关键词 智能变电站 虚回路 广度优先搜索 故障定位 故障类型识别 多信息融合 D-S证据理论 smart substation virtual loop breadth-first search fault location fault type identification multi-information fusion D-S evidence theory
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