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Doctoral Defense</p>
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An Optimization Framework for</p>
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Resilience-based Power Grid Restoration</p>
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Saeedeh Abbasi</p>
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Date & Time: Monday, July 16th, 2018, 10:00 AM</p>
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Venue: Industrial Engineering Conference Room</p>
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Engineering Building 2, E214</p>
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Abstract</p>
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Extreme weather or disaster can result in a power sys-</p>
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tem outage that needs to be restored quickly to mitigate the</p>
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adverse eects. This dissertation presents an optimization</p>
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framework to optimize the restoration process and improve</p>
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the resilience of a power system. A bi-level mathematical</p>
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model is provided to facilitate the supply of critical loads</p>
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while minimizing the restoration time. The proposed model</p>
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is designed to maximize the level of resiliency. The resilience</p>
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level is quantied by a resilience vector which covers multiple</p>
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features of the resilience concept. An iterative optimization</p>
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algorithm (IOA) and a mathematical program with equilib-</p>
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rium constraints (MPEC) are developed to solve the proposed</p>
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bi-level model. Furthermore, the hurricane's aftermath on a</p>
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power system is investigated. So, a reliable restoration plan</p>
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is oered to consider any possible failure of transmission lines</p>
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via a robust optimization. Finally, the network partitioning</p>
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approach of a power system restoration is generalized to any</p>
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network partitioning towards invulnerable partitions.</p>
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