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Off-line tracking of series parameters in distribution systems using AMI data

机译:使用AMI数据离线跟踪配电系统中的系列参数

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In the past, electric distribution systems have lacked measurement points, and equipment is often operated to its failure point, resulting in customer outages. The widespread deployment of sensors improves distribution level observability. This paper presents an off-line parameter tracking procedure that leverages the increased deployment of distribution level measurement devices to estimate changes in impedance parameters over time. Parameter tracking enables the discovery of non-diurnal and non-seasonal changes, which can be flagged for investigation. The presented method uses an unbalanced distribution-system state-estimator and a measurement-residual based parameter-estimation procedure. Measurement residuals from multiple measurement snapshots are combined to increase effective local redundancy and improve robustness to measurement noise. The input data used in the experiments Consists of data from devices on the primary distribution system and from customer meters, via an AMI system. Results of simulations on the IEEE 13-Node Test Feeder with 307 measurements and 246 parameters are presented to illustrate the proposed approach applied to changes in series impedance parameters. The proposed approach can detect a 5% change in series resistance elements with 2% measurement error using less than 1 day of measurement snapshots for a single estimate. (C) 2016 Elsevier B.V. All rights reserved.
机译:过去,配电系统缺少测量点,并且设备经常在故障点运行,从而导致客户停机。传感器的广泛部署提高了分布水平的可观察性。本文提出了一种离线参数跟踪程序,该程序利用分布水平测量设备的增加部署来估算阻抗参数随时间的变化。通过参数跟踪,可以发现非每日和非季节性的变化,可以将其标记为进行调查。所提出的方法使用不平衡配电系统状态估计器和基于测量残差的参数估计程序。来自多个测量快照的测量残差被合并以增加有效的局部冗余并提高对测量噪声的鲁棒性。实验中使用的输入数据包括通过AMI系统来自主配电系统上的设备和客户电表的数据。介绍了在IEEE 13节点测试馈送器上的仿真结果,该仿真器具有307个测量值和246个参数,以说明所建议的方法适用于串联阻抗参数的变化。所提出的方法可以使用少于1天的测量快照进行一次估计,以2%的测量误差检测串联电阻元件的5%变化。 (C)2016 Elsevier B.V.保留所有权利。

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