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作 者:薛晴予 孙婷 Xue Qingyu;Sun Ting(State Grid Henan Electric Power Company Yucheng County Power Supply Company,Shangqiu Henan 476300,China)
机构地区:[1]国网河南省电力公司虞城县供电公司,河南商丘476300
出 处:《现代工业经济和信息化》2023年第9期109-111,共3页Modern Industrial Economy and Informationization
摘 要:随着电网规模的不断扩大和运行环境的不断变化,变电站设备的自动化监测控制已经成为电网管理的重要需求。基于此,搭建了一款变电站自动化监测控制系统,包括变电站设备监测模块、数据传输模块和数据处理模块。为了让大数据视域下变电站自动化监测控制系统更加可靠,提出了一种基于知识库和一种基于数据驱动的变电站异常故障处理流程,并且深入分析了二者的优劣。结果表明,在性能、准确度、实践依据和自动化等方面,两种处理流程各有优缺点,需根据不同场景进行选择。With the continuous changes and expansion of the operating environment of the power grid,the automation monitoring and control of substation equipment has become an important demand for power grid management.Based on this,this article constructs a substation automation monitoring and control system,which is divided into three modules:substation equipment monitoring module,data transmission module,and data processing module.Subsequently,in order to make the substation automation monitoring and control system more reliable and effective from the perspective of big data,this article proposes a knowledge-based and data-driven substation abnormal fault handling process,and analyzes the advantages and disadvantages of the two in depth.The results indicate that both processing processes have advantages and disadvantages in terms of performance,accuracy,practical basis,and automation,and the choice of which one varies depending on the scenario.
分 类 号:TM76[电气工程—电力系统及自动化]
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