Solving Unit Commitment Problems with Demand Responsive Loads: Preprint Article Swipe
Devon Sigler
,
Juliette Ugirumurera
,
José Daniel Lara
,
Sourabh Dalvi
,
Clayton Barrows
·
YOU?
·
· 2022
· Open Access
·
YOU?
·
· 2022
· Open Access
·
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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Metadata
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- en
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- https://www.osti.gov/biblio/1890732
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- green
- Related Works
- 10
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Solving Unit Commitment Problems with Demand Responsive Loads: PreprintWork title
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paratextOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-10-06Full publication date if available
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Devon Sigler, Juliette Ugirumurera, José Daniel Lara, Sourabh Dalvi, Clayton BarrowsList of authors in order
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https://www.osti.gov/biblio/1890732Publisher landing page
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https://www.osti.gov/biblio/1890732Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.osti.gov/biblio/1890732Direct OA link when available
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Preprint, Unit (ring theory), Computer science, World Wide Web, Psychology, Mathematics educationTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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