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Prediction of Short-Term Voltage Instability Using a Digital Faster Than Real-Time Replica

机译:使用数字快于实时副本的数字快速预测短期电压不稳定

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Predictive analysis of post fault system dynamic behavior can be a vital resource for better control and reliability improvement of the overall system. This article presents methods for predictive analysis of Fault Induced Dynamic Voltage Recovery (FIDVR) event using a faster than real-time digital replica of a power system. The methods proposed include use of quick algorithms for detection of FIDVR events and metrics for predicting dynamic behavior of the power system impacted by the detected FIDVR event. We show that, using a digital faster than real-time replica, the FIDVR event can be detected in required time and that the transient voltage deviation index (TVDI) can be quickly calculated.
机译:故障系统的预测分析动态行为可以是用于更好控制和可靠性改进整体系统的重要资源。本文介绍了使用比电力系统的实时数字复制品更快的故障引起的动态电压恢复(FIDVR)事件的预测性分析的方法。所提出的方法包括使用快速算法来检测用于预测受检测到的超前事件影响的电力系统的动态行为的FIDVR事件和度量。我们表明,使用比实时副本更快的数字,可以在所需时间内检测到FIDVR事件,并且可以快速计算瞬态电压偏差指数(TVDI)。

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