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Stochastic Optimization of Power System Dynamics for Grid Resilience

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Title:Stochastic Optimization of Power System Dynamics for Grid Resilience
Authors:Arguello, Bryan
Stewart, Nathan
Hoffman, Matt
Keywords:Resilient Networks
dynamic stochastic optimziation
grid stability
optimal power flow
resilience
Date Issued:05 Jan 2021
Abstract:When faced with uncertainty regarding potential failure contingencies, prioritizing system resiliency through optimal control of exciter reference voltage and mechanical torque can be arduous due to the scope of potential failure contingencies. Optimal control schemes can be generated through a two-stage stochastic optimization model by anticipating a set of contingencies with associated probabilities of occurrence, followed by the optimal recourse action once the contingency has been realized. The first stage, common across all contingency scenarios, co-optimally positions the grid for the set of possible contingencies. The second stage dynamically assesses the impact of each contingency and allows for emergency control response. By unifying the optimal control scheme prior and post the failure contingency, a singular policy can be constructed to maximize system resiliency.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/71023
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.408
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Resilient Networks


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