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Multi-Node Power Systems Profiling with Modified State Estimation

机译:具有修正状态估计的多节点电力系统分析

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摘要

Abstract Electrical equipment poses a danger to maintenance personnel when the equipment must be serviced energized. While de-energized maintenance is preferred, for some tests, doing so will not provide the needed performance data to validate important performance metrics of the equipment. In particular, sites with a high cost of downtime (health care centers, data centers, continuous process manufacturing, etc.) identifying a problem that could affect series integrity of conductors (continuity) of service is critical. The infrared thermal imaging test is a common method of inferring the resistance of a connection by measuring the temperature of a component, and when normalized to current flow, can be used as a proxy for the effective resistance of the current path. Deviations from historical ratios of temperature to current may indicate a change in the junction resistance. The problem is that IR cameras require line-of-sight visibility with the energized electrical component to be tested. Many times due to available fault currents, fault clearing times and/or voltage levels, this cannot be done from a far enough distance to afford the operator safety even when wearing the maximum available PPE (personal protective equipment). The challenge has been how to perform this measurement safely and accurately, but still recognize that capital (for specialized test equipment) and expenses (for labor to perform testing) are frequently limited. Therefore, having a method of performing these tests throughout a facility, ideally performed from a central location while not requiring specialized equipment (leveraging the already installed IEDs [intelligent electronic devices]), would be a valuable solution. This research discovered a solution that reads low-resolution data from legacy IEDs but processes it to improve resolution to a point where ultimately it can be used to measure junction-to-junction impedances to sufficient resolution to detect failing connections. The research outlines the statistical analysis, filter design and conductor temperature normalization algorithms necessary to achieve this goal.
机译:摘要电气设备必须上电维修时,会对维护人员造成危险。尽管首选断电维护,但对于某些测试,这样做将无法提供所需的性能数据来验证设备的重要性能指标。特别是,停机时间高昂的站点(医疗中心,数据中心,连续过程制造等)发现可能影响服务导体的系列完整性(连续性)的问题至关重要。红外热成像测试是通过测量组件的温度来推断连接电阻的常用方法,并且当归一化为电流时,可以用作电流路径的有效电阻的代理。与历史温度比电流比的偏差可能表明结电阻发生了变化。问题在于,红外热像仪要求视线可见度与要测试的通电电子元件相同。很多时候,由于可用的故障电流,故障清除时间和/或电压水平,即使穿戴了最大可用的PPE(个人防护设备),也无法从足够远的距离进行操作,以确保操作员安全。面临的挑战是如何安全,准确地执行此测量,但仍然认识到资本(用于专用测试设备)和费用(用于进行测试的人工)经常受到限制。因此,拥有一种在整个设施中执行这些测试的方法(理想情况下是从中心位置执行而又不需要专用设备(利用已经安装的IED [智能电子设备]))将是一种有价值的解决方案。这项研究发现了一种解决方案,该解决方案可以从旧式IED读取低分辨率数据,但对其进行处理以将分辨率提高到一定程度,从而最终可以将其用于测量结点到结点的阻抗,使其具有足够的分辨率来检测故障连接。该研究概述了实现该目标所需的统计分析,滤波器设计和导体温度归一化算法。

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    Loucks David G;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en
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