DOE OSTI · 1890732
Solving Unit Commitment Problems with Demand Responsive Loads: Preprint
Abstract
This paper focuses on using variations of the Frank-Wolfe algorithm for solving unit commitment problems with high volumes of demand responsive loads on the power grid. We present a formulation of the unit commitment problem with demand responsive loads. We then show through reformulation and relaxations of the problem that variations of the Frank-Wolfe algorithm can be used to determine the time series decisions for the demand responsive loads. We show through computational experiments on the RTS-GMLC test system that the time series of demand responsive load decisions obtained through our approach are near optimal and provide details regarding how large scale parallel implementations of our approach can be highly computationally efficient.
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Sigler, Devon, Ugirumurera, Juliette, Lara, Jose Daniel, Dalvi, Sourabh, Barrows, Clayton. 2022-09-27. Solving Unit Commitment Problems with Demand Responsive Loads: Preprint. https://www.osti.gov/biblio/1890732
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