使用正常功能和监控的泄漏电流来确定受损绝缘体的故障概率和位置识别
Moein Monemi1, Seyed Mohammad Shahrtash1, Mohsen Kalantar1
1Center of Excellence for Power System Automation and Operation, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
PloS one
|June 11, 2025
概括
本研究建议使用绝缘体泄漏电流数据和正常分布来预测电绝缘体故障率. 该方法旨在通过主动识别损坏的绝缘体来优化维护计划并防止电网故障.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 可靠性工程可靠性工程
背景情况:
- 绝缘体对于高压输电线路至关重要,防止电流泄漏到塔.
- 绝缘体随着时间的推移而退化,导致故障,导致服务中断和昂贵的维护.
- 目前用于检测缺陷绝缘体的方法耗时,需要长时间停电.
研究的目的:
- 检查各种电压级别的绝缘器问题和故障.
- 为维护规划提出一种方法来确定绝缘器故障率.
- 为了能够主动识别和维护损坏的电绝缘体.
主要方法:
- 对绝缘体泄漏电流 (LC) 数据的分析.
- 在模型绝缘器故障率上应用正常分布.
- 基于LC测量的故障概率的计算.
主要成果:
- 使用LC数据计算绝缘体故障的概率的一种方法.
- 对绝缘器故障率的量化用于维护优先级.
- 识别需要维护或更换的特定绝缘体.
结论:
- 拟议的方法允许在绝缘体维护方面进行数据驱动的决策.
- 基于LC数据的预测性维护可以防止电网故障.
- 优化的维护策略可以减少停机时间,提高电网可靠性.
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