[CCoE Notice] PhD Defense: An Optimization Framework for Resilience-based Power Grid Restoration

[Knudsen, Rachel W]

Doctoral Defense


An Optimization Framework for

Resilience-based Power Grid Restoration


Saeedeh Abbasi


Date & Time: Monday, July 16th, 2018, 10:00 AM

Venue: Industrial Engineering Conference Room

Engineering Building 2, E214


Abstract

Extreme weather or disaster can result in a power sys-

tem outage that needs to be restored quickly to mitigate the

adverse eects. This dissertation presents an optimization

framework to optimize the restoration process and improve

the resilience of a power system. A bi-level mathematical

model is provided to facilitate the supply of critical loads

while minimizing the restoration time. The proposed model

is designed to maximize the level of resiliency. The resilience

level is quantied by a resilience vector which covers multiple

features of the resilience concept. An iterative optimization

algorithm (IOA) and a mathematical program with equilib-

rium constraints (MPEC) are developed to solve the proposed

bi-level model. Furthermore, the hurricane's aftermath on a

power system is investigated. So, a reliable restoration plan

is oered to consider any possible failure of transmission lines

via a robust optimization. Finally, the network partitioning

approach of a power system restoration is generalized to any

network partitioning towards invulnerable partitions.
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