A general source-sink model with inoperability constraints for robust energy sector planning

The concept of inoperability was originally introduced as a means of quantifying risk in systems comprised of interdependent subsystems, using a modified input-output framework. This paper describes a novel robust optimization model for energy planning with inoperability constraints. The formulation...

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Main Author: Tan, Raymond Girard R.
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Published: Animo Repository 2011
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1114
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-21132022-08-10T07:28:36Z A general source-sink model with inoperability constraints for robust energy sector planning Tan, Raymond Girard R. The concept of inoperability was originally introduced as a means of quantifying risk in systems comprised of interdependent subsystems, using a modified input-output framework. This paper describes a novel robust optimization model for energy planning with inoperability constraints. The formulation is based on the established source-sink framework, which has been used extensively for energy planning applications under various environmental footprint constraints. The proposed model determines the optimal allocation of various energy sources within a system to corresponding energy sinks or demands, while ensuring that inoperability limits of the latter are satisfied for multiple enumerated scenarios. The basic formulation results in a linear program (LP), while a mixed integer linear programming (MILP) extension is also described. In either case, a globally optimal solution can be easily determined if one exists. Illustrative case studies are then given to demonstrate this new method. © 2011. 2011-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1114 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2113/type/native/viewcontent Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description The concept of inoperability was originally introduced as a means of quantifying risk in systems comprised of interdependent subsystems, using a modified input-output framework. This paper describes a novel robust optimization model for energy planning with inoperability constraints. The formulation is based on the established source-sink framework, which has been used extensively for energy planning applications under various environmental footprint constraints. The proposed model determines the optimal allocation of various energy sources within a system to corresponding energy sinks or demands, while ensuring that inoperability limits of the latter are satisfied for multiple enumerated scenarios. The basic formulation results in a linear program (LP), while a mixed integer linear programming (MILP) extension is also described. In either case, a globally optimal solution can be easily determined if one exists. Illustrative case studies are then given to demonstrate this new method. © 2011.
format text
author Tan, Raymond Girard R.
spellingShingle Tan, Raymond Girard R.
A general source-sink model with inoperability constraints for robust energy sector planning
author_facet Tan, Raymond Girard R.
author_sort Tan, Raymond Girard R.
title A general source-sink model with inoperability constraints for robust energy sector planning
title_short A general source-sink model with inoperability constraints for robust energy sector planning
title_full A general source-sink model with inoperability constraints for robust energy sector planning
title_fullStr A general source-sink model with inoperability constraints for robust energy sector planning
title_full_unstemmed A general source-sink model with inoperability constraints for robust energy sector planning
title_sort general source-sink model with inoperability constraints for robust energy sector planning
publisher Animo Repository
publishDate 2011
url https://animorepository.dlsu.edu.ph/faculty_research/1114
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2113/type/native/viewcontent
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