An adaptive scheme for digital protection of power transformers

A. Girgis, D. Hart, W. B. Chang
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引用次数: 26

Abstract

The development of an adaptive scheme for digital differential protection of power transformers is presented. The transformer status is monitored to decide if the transformer is disconnected or is in normal operating condition. When the transformer is energized, a two-state Kalman filter model monitors the transformer during normal operating conditions. When a transient is detected, a three-state Kalman filter model is initiated to obtain the best estimate of the phasor quantities in the shortest period of time. These phasors are used to decide if a fault in the transformer exists. If the transformer was disconnected and switched on, the current waveform would include inrush current or a combination of inrush and fault currents. In this case, a five-state Kalman filter model is initiated to obtain the best estimates of the DC offset, fundamental, and second harmonic phasors. The current transformer ratios and tap values are included in the algorithm to obtain an adaptive percentage differential characteristic. This adaptive scheme was tested on data obtained in the laboratory and proved to be highly accurate and fast.<>
一种电力变压器数字保护的自适应方案
提出了一种电力变压器数字差动保护自适应方案。对变压器状态进行监控,以确定变压器是否断开或处于正常运行状态。当变压器通电时,两态卡尔曼滤波模型监测变压器正常工作状态。当检测到暂态信号时,建立三态卡尔曼滤波模型,在最短时间内获得相量的最佳估计。这些相量用于判断变压器是否存在故障。如果变压器断开并接通,则电流波形将包括涌流或涌流和故障电流的组合。在这种情况下,启动一个五状态卡尔曼滤波模型,以获得直流偏移、基频和二次谐波相量的最佳估计。该算法包含电流互感器比和抽头值,以获得自适应的百分比差分特性。实验结果表明,该自适应方案具有较高的精度和速度。
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