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Trust-region approximation of extreme trajectories in power system dynamics

By Daniel Adrian Maldonado and others
In this work we present a novel technique, based on a trust-region optimization algorithm and second-order trajectory sensitivities, to compute the extreme trajectories of power system dynamic simulations given a bounded set that represents parametric uncertainty. We show how this method, while remaining computationally efficient compared with sampling-based techniques, overcomes... Show more
February 8, 2022
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Trust-region approximation of extreme trajectories in power system dynamics
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