In this paper, a novel concept for transient stability improvement is introduced by using out-of-step prediction. Unlike conventional improving stability methods, which are always online, this concept makes activation of the stabilization process subject to the prediction. Firstly, the method utilizes a prediction algorithm to predict the stability of a synchronous generator and consequently, if adequate time remains, activates a method for improvement of stability. This concept reduces the imposed transients on power system and hence the probable damage on the synchronous generator. The proposed philosophy is adapted for single or several prediction methods. Additionally, to confirm the effectiveness of this approach, a new and simple algorithm for instability assessment is introduced which maps the generator transient behavior on the “speed deviation-derivative of speed” plane where the trend of this curve is employed for instability prediction by tangent line. The proposed concept and prediction method are validated on IEEE 39 bus test system. The results demonstrate the introduced approach is quite effective. The simulations and algorithm implementation are carried out using Power Factory® and MATLAB software, respectively.

在本文中，通过使用失步预测引入了一种用于提高暂态稳定性的新颖概念。与始终在线的常规改进稳定性方法不同，此概念使稳定过程的激活受预测的影响。首先，该方法利用预测算法来预测同步发电机的稳定性，因此，如果剩余足够的时间，则激活用于改善稳定性的方法。该概念减少了对电力系统施加的瞬变，从而减少了对同步发电机的可能损坏。所提出的原理适用于单个或几种预测方法。此外，为确认此方法的有效性，引入了一种新的，简单的失稳评估算法，该算法将发电机瞬态行为映射到“速度的速度偏差-导数”平面上，其中该曲线的趋势用于通过切线进行失稳预测。该概念和预测方法在IEEE 39总线测试系统上得到了验证。结果表明引入的方法是非常有效的。仿真和算法实现分别使用PowerFactory®和MATLAB软件进行。