The OPA (ORNL-PSERC-Alaska) model has been widely used in cascading failure simulations to predict likely and plausible sequences of cascading failures. This letter focuses on an algorithmic approach to enhance the OPA model whose main engine is based on quasi-steady-state models without considering the impact of collective transient dynamics of the entire system on the sequence of cascading failures. In particular, the enhanced OPA model incorporates dynamically induced cascading failures in fast time scales, which allows it to capture more realistic and detailed cascading scenarios. In this work, we outline the enhanced OPA model and provide simulation results to illustrate its feasibility with the realistic test network.

中文翻译：

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增强的 OPA 模型：纳入动态引发的级联故障


OPA (ORNL-PSERC-Alaska) 模型已广泛用于级联故障模拟，以预测可能且合理的级联故障序列。这封信重点讨论了一种增强 OPA 模型的算法方法，该模型的主机基于准稳态模型，没有考虑整个系统的集体瞬态动力学对级联故障序列的影响。特别是，增强的 OPA 模型结合了快速时间尺度内动态引发的级联故障，这使得它能够捕获更真实、更详细的级联场景。在这项工作中，我们概述了增强型 OPA 模型并提供了仿真结果，以说明其在实际测试网络中的可行性。