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Distributed Model Predictive Control for the Mitigation of Cascading Failures

机译:减轻级联故障的分布式模型预测控制

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Most large blackouts are caused by cascading failures—sequences of equipment outages, one set of outages precipitating another. We study the application of distributed, autonomous agents for shortening such sequences. Each agent controls a single variable—the consumption of a load or the output of a generator. Each agent uses model predictive control and cooperates with its neighbors in making its decisions. Experiments using the IEEE 118 bus test case illustrate the effectiveness of this method.
机译:大多数大型停电是由级联故障引起的-设备中断的顺序是,一组中断导致了另一组中断。我们研究了缩短这些序列的分布式自治代理的应用。每个代理控制一个变量-负载的消耗或发电机的输出。每个代理都使用模型预测控制,并与邻居合作制定决策。使用IEEE 118总线测试案例进行的实验说明了该方法的有效性。

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