基于随机逼近的电网连锁故障鲁棒控制
Robust Control of Cascading Power Grid Failures using Stochastic Approximation
摘要：
电力传输系统级联故障由使一组元件（例如，线路）之后是由改变的系统拓扑中的功率流的物理特性和控制的组合引起的过载元件的一系列相关故障（或更准确地说，跳闸）。如果该序列加速，则可能导致大的系统故障，并导致显著的负载损失。在以前的工作中，我们已经分析了确定性算法，在一个在线的方式（即，响应于观察到的数据）选择性地卸载负载，以便最小化级联终止时的负载损失量。在这项工作中，我们提出了一个严格的方法，将噪声和模型误差，基于样本平均近似方法的随机最优化。
英文摘要：
Cascading failure of a power transmission system are initiated by an exogenous event that disable a set of elements (e.g., lines) followed by a sequence of interrelated failures (or more precisely, trips) of overloaded elements caused by the combination of physics of power flows in the changed system topology, and controls. Should this sequence accelerate it can lead to a large system failure with significant loss of load. In previous work we have analyzed deterministic algorithms that in an online fashion (i.e., responding to observed data) selectively shed load so as to minimize the amount of lost load at termination of the cascade. In this work we present a rigorous methodology for incorporating noise and model errors, based on the Sample Average Approximation methodology for stochastic optimization.
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