GO Competition Challenge 3: Problem, Solvers, and Solution Analysis

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Publicat a:arXiv.org (Nov 18, 2024), p. n/a
Autor principal: Holzer, Jesse T
Altres autors: Elbert, Stephen, Mittelmann, Hans, O'Neill, Richard, Oh, HyungSeon
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Cornell University Library, arXiv.org
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Accés en línia:Citation/Abstract
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022 |a 2331-8422 
035 |a 3130968425 
045 0 |b d20241118 
100 1 |a Holzer, Jesse T 
245 1 |a GO Competition Challenge 3: Problem, Solvers, and Solution Analysis 
260 |b Cornell University Library, arXiv.org  |c Nov 18, 2024 
513 |a Working Paper 
520 3 |a This paper describes the Grid Optimization (GO) Competition Challenge 3, focusing on the problem motivation, formulation, solvers submitted by competition entrants, and analysis of the solutions produced. Funded by DOE/ARPA-E and led by a collaboration of national labs and academia members, the GO Competition addresses challenging problems in power systems planning and operations to drive research in advanced solution methods essential for a rapidly evolving electric power sector. Challenge 3 targets a multi-period unit commitment problem, incorporating AC power modeling and topology switching to reflect the dynamic grid management techniques required for future power systems. The competition results offer significant benefits to both researchers and industry practitioners. For researchers, it fosters innovation, encouraging the development of new algorithms to address the complexities of modern power systems. For industry practitioners, the competition drives the creation of more efficient and reliable computational tools, directly improving grid management practices. This collaboration bridges the gap between theory and practical implementation, advancing the field in meaningful ways. This paper documents the problem formulation, solver approaches, and the effectiveness of the solutions developed. 
653 |a Solvers 
653 |a Algorithms 
653 |a Collaboration 
653 |a Industrial development 
653 |a Unit commitment 
653 |a Systems planning 
653 |a Competition 
653 |a Cooperation 
653 |a Software 
653 |a Electric power systems 
653 |a Topology 
700 1 |a Elbert, Stephen 
700 1 |a Mittelmann, Hans 
700 1 |a O'Neill, Richard 
700 1 |a Oh, HyungSeon 
773 0 |t arXiv.org  |g (Nov 18, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3130968425/abstract/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2411.12033