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摘要
智能电网发展背景下,变电站主变压器作为电力系统核心设备,其绝缘状态关乎电网安全稳定运行。传统绝缘检测采用离线试验与周期性维护模式,存在时效性差、成本高的问题。近年物联网与传感技术支撑的多维度在线监测系统普及,能实时采集电气、化学、机械等特征参数,为绝缘评估提供海量数据,但现有方法多聚焦单一指标分析,缺乏多源数据融合与综合诊断能力,难以实现故障早期预警和精准定位。为此,本文研究主变绝缘综合评估与诊断方法,依次阐述多维度监测技术、数据融合预处理方法、绝缘状态综合评估方法及故障诊断与决策支持方法,为相关研究提供参考。
Abstract
In the context of smart grid development, the main transformer in substations serves as a core component of power systems, where its insulation status directly impacts grid safety and stability. Traditional insulation testing methods, relying on offline tests and periodic maintenance, suffer from low timeliness and high costs. Recent advancements in IoT and sensor technologies have enabled the widespread adoption of multi-dimensional online monitoring systems, which can collect real-time electrical, chemical, and mechanical parameters to provide massive data for insulation assessment. However, existing methods predominantly focus on single- parameter analysis, lacking multi-source data integration and comprehensive diagnostic capabilities, making it challenging to achieve early fault detection and precise localization. To address this, this paper investigates integrated assessment and diagnostic methods for main transformer insulation, systematically outlining multi-dimensional monitoring technologies, data fusion preprocessing approaches, comprehensive insulation status evaluation methods, and fault diagnosis with decision support systems, offering valuable references for related research.
关键词
Key words
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杜伟伟,于德.
变电站主变绝缘状态多维度在线监测综合评估与诊断方法[J].
工程研究前沿, 2026, 3(3): 1-3 DOI:10.12349/foer.v3i3.9406
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