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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Bibliographic Details
Main Author: Tan, Raymond Girard R.
Format: text
Published: Animo Repository 2011
Online Access: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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Institution: De La Salle University
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Summary: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.