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作 者:王思思 朱琛 刘小花 濮曦 张超 WANG Sisi;ZHU Chen;LIU Xiaohua;PU Xi;ZHANG Chao(State Grid Hunan Electric Power Co.,Ltd.,Changsha Power Supply Branch,Changsha 410000,China;Changsha Electric Power Design Institute Co.,Ltd.,Changsha 410000,China)
机构地区:[1]国网湖南省电力有限公司长沙供电分公司,湖南长沙410000 [2]长沙电力设计院有限公司,湖南长沙410000
出 处:《电工技术》2022年第20期115-117,共3页Electric Engineering
摘 要:在科技的引导下,我国电网逐渐完善,供电效率与质量也得到了极大提升,但是部分变电站仍然存在问题,并常常发生故障。为了避免这一情况的延伸,需定期进行故障分类,因此对基于VR技术的变电站一次设备故障分类方法进行设计,自动采集一次设备故障数据,同时构建VR增强故障分类模型,在VR技术下,采用过程层处理方法实现一次设备故障的分类处理。测试结果表明,与传统自动定位故障分类测试组和传统IEC 61850过程层故障分类测试组对比,所设计的VR一次设备故障分类测试组延迟时间相对较短,在复杂的一次设备变电环境中,定位故障速度更快。Under the guidance of science and technology,China's power grid has gradually improved,and the power supply efficiency and quality have also been greatly improved.However,some substations still have problems and often fail.To avoid the extension of this situation,failure classification needs to be done regularly.Therefore,a method for primary equipment fault classification in Substation Based on VR technology is designed.A VR-enhanced fault classification model is built to automatically collect the data of a single device failure.With VR technology,a process-layer processing method is used to classify and handle a single device failure.The test results show that the delay time of the VR primary equipment fault classification test group is relatively short compared with the traditional automatic location fault classification test group and the traditional IEC 61850 process layer fault classification test group,and the fault location speed is faster in a complex primary equipment substation environment.
关 键 词:VR技术 变电站 一次设备 故障分类 分类方法 供电结构
分 类 号:TM732[电气工程—电力系统及自动化]
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