室内变电站放电检测与定位,用于故障监测

Lorothy Singkang
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引用次数: 1

摘要

变电站是电力系统中最重要的单元,因此,必须进行有效的监控过程,以检测设备的运行状态,维护是安全运行的必要条件。变电站故障,如介电击穿,起源于绝缘退化仍然是电力系统中的一个主要问题(1 - 3)。为了在变电站中提供更好的故障检测方法,已经开发了许多智能方法和技术。然而,并不是很多人愿意采用这些技术,因为安装成本高,需要更多的传感器来提高定位精度(4)。因此,为了降低成本,提高检测速度,本文设计了一种2元阵列天线,利用阵列天线中各单元接收到的到达角方向对变电站内异常辐射电磁活动产生的放电进行探测和定位。然后使用基于归一化阵列因子(AFN)的信号处理软件将得到的辐射方向图可视化。该传感器能够有效地消除任意DOA处的干扰信号,并在45Ëš处最大限度地提高期望信号;从变电站电力设备确定的角度方向。该传感器具有同位素导向的能力,能够同时终止或最大化doa相差0.0873弧度的信号。这些特性使该传感器能够在确定的DOA基础上对变电站异常辐射电磁活动进行检测和定位,从而成为一种很有前途的变电站故障预防手段,提高了变电站故障监测的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETECTION AND LOCALIZATION OF ELECTRIC DISCHARGES IN INDOOR SUBSTATION FOR FAULT MONITORING
Power Substation is the most important unit in the power system, therefore, the monitoring process must be carried out effectively to detect the operation status of the equipment, and the maintenance is necessary for safe operation. Substation faulty such as Dielectric breakdowns, originating from the insulation degradation is still a major issue in the power system (1–3).  Many methods and techniques with intelligence approaches have been developed to provide a better way of fault detection in a substation. However, not many are willing to adopt those techniques by reasoning the high cost of installation and more sensors required to improve localization accuracy (4). Therefore, to reduce cost and increase the speed of detection, this paper presents a 2-element array antenna to perform as a sensor to detect and localize the electric discharges (ED) produced by abnormal radiated electromagnetic activities in substation based on the direction of arriving angle (DOA) received by elements in the array antenna. The radiation patterns obtained were then visualized using software of signal processing based on the normalized Array Factor (AFN). This sensor has shown its efficiency in eliminating the interferer signals at random DOA of  and maximizing the desired signal at DOA of 45Ëš; the identified angle direction from the substation power apparatus.  This sensor has the ability to be steered isotopically and terminate or maximize signals which differ by  or 0.0873 radians of DOAs, simultaneously. Having these abilities allowed this sensor to be a cohesive unit in detecting and localizing the abnormal radiated electromagnetic activities in substation based on the identified DOA thus, make it as a promising preventive approach for substation breakdown and improve the performance in Substation Fault Monitoring.
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