One of the most challenging events for distance relays is a transient phenomenon known as power swing, which can have damaging results to the system. The occurrence of power swing can cause the impedance trajectory to enter protective zones of distance relays that may lead them to the wrong operation. Malfunction of distance relays can create instability in power systems, and a large blackout may occur in these networks. The purpose of this paper is to introduce a new method based on using the mean value of sampled data from the current signal to recognize power swing from simultaneous faults. This method has been tested using DIgSILENT and MATLAB software on a two-bus network with parallel lines. The obtained results demonstrate that the proposed scheme is capable of detecting various types of power swings, including both unstable and stable power swing. The presented method in this paper also has an accurate operation to detect simultaneous symmetric faults. Besides, this method is planned for a protection system with a central controller using the IEC-61850 standard.

距离继电器最具挑战性的事件之一是称为功率摆动的瞬态现象，它可能对系统造成破坏性结果。功率振荡的发生会导致阻抗轨迹进入距离继电器的保护区域，从而导致距离继电器误动作。距离继电器的故障会导致电力系统不稳定，并且这些网络可能会发生大停电。本文的目的是介绍一种新方法，该方法基于使用电流信号采样数据的平均值来识别同时故障引起的功率摆动。此方法已在具有并行线路的双总线网络上使用 DIgSILENT 和 MATLAB 软件进行了测试。获得的结果表明，所提出的方案能够检测各种类型的电力波动，包括不稳定和稳定的功率摆动。本文提出的方法还具有检测同时对称故障的准确操作。此外，该方法计划用于使用 IEC-61850 标准的带有中央控制器的保护系统。