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作 者:赵福增 ZHAO Fuzeng(Shenhua(Tianjin)New Energy Technology Co.,Ltd.,Tianjin 300273,China)
机构地区:[1]神华(天津)新能源技术有限责任公司,天津300273
出 处:《电工技术》2024年第14期184-186,共3页Electric Engineering
摘 要:为提高变电站二次设备故障定位准确性,引入多源数据融合技术,开展变电站二次设备故障定位研究。通过综合考虑设备的工作原理、运行环境及可能发生的故障模式,建立变电站二次设备故障附加状态模型。结合多源数据融合,计算变电站二次设备故障度。划分变电站二次设备故障等级,实现故障自主定位。通过实例证明,新的定位方法可实现对二次设备故障区域的准确定位,且能够提供明确的故障等级,为后续检修提供可靠依据。In order to improve the accuracy of fault location for secondary equipment in substations,multi-source data fusion technology is introduced to investigate fault location for secondary equipment.By comprehensively considering working principle,operating environment,and possible fault modes of equipment,an additional state model for secondary equipment faults in substations is established and combined with multi-source data fusion to calculate the fault degree of secondary equipment.The fault levels of substation secondary equipment are classified and autonomous fault localization is achieved.The proposed location method is proved by case verification capable of accurately locating fault area,determining fault levels,and thereby providing reliable basis for subsequent maintenance.
分 类 号:TM721[电气工程—电力系统及自动化]
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