Gradient-based algorithm for the distinction of fault and inrush currents in low power transformers

Robson Fabrício Pinto Moreira, Vinicius Marins Cleff, E. G. Souza, Chiara D. Do Nascimento
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Abstract

In this work, it is presented an algorithm based on the directional gradient method for distinguishing source surge current, or inrush currents, from transitory fault currents in transformers. Methods and simulation are introduced and the effectiveness of the gradient method is investigated for situations that can lead to a false operational of the protection systems. Three special cases, composed of a combination of external faults with magnetizing inrush current for a $\Delta -\Delta$, 138/13.8 kV - 30 kVA power transformer are studied. The power system transformer is modeled in the software ATP-Draw by the component SATTRAFO. The results indicate that the gradient method is effective for detecting and distinguishing inrush from fault currents when the angle of the gradient of the primary current together with its amplitude is appropriately used as boundary conditions. As a consequence, the algorithm could be used as a fast single/combined one cycle time-domain detection method in order to optimize the 87T protection function.
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基于梯度的小功率变压器故障与涌流区分算法
本文提出了一种基于方向梯度法的变压器源浪涌电流和暂态故障电流区分算法。介绍了方法和仿真,并对可能导致保护系统误操作的情况下梯度法的有效性进行了研究。研究了138/13.8 kV - 30kva电力变压器外部故障与励磁涌流相结合的三种特殊情况。利用SATTRAFO组件在ATP-Draw软件中对电力系统变压器进行建模。结果表明,当选取一次电流的梯度角及其幅值作为边界条件时,梯度法可以有效地检测和区分故障涌流和故障电流。因此,该算法可以作为一种快速的单/组合单周期时域检测方法,以优化87T保护功能。
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