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Hierarchical Graph Modeling for Multi-Scale Optimization of Power Systems

Hierarchical optimization architectures are used in power systems to manage disturbances and phenomena that arise at multiple spatial and temporal scales. We present a graph modeling abstraction for representing such architectures and an implementation in the \({\tt Julia}\) package \({\tt Plasmo.jl...

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Bibliographic Details
Published in:arXiv.org 2023-09
Main Authors: Cole, David L, Gangammanavar, Harsha, Zavala, Victor M
Format: Article
Language:English
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Summary:Hierarchical optimization architectures are used in power systems to manage disturbances and phenomena that arise at multiple spatial and temporal scales. We present a graph modeling abstraction for representing such architectures and an implementation in the \({\tt Julia}\) package \({\tt Plasmo.jl}\). We apply this framework to a tri-level hierarchical framework arising in wholesale market operations that involves day-ahead unit commitment, short-term unit commitment, and economic dispatch. We show that graph abstractions facilitate the construction, visualization, and solution of these complex problems.
ISSN:2331-8422