An SOS1-Based Approach for Solving MPECs with a Natural Gas Market Application
Sauleh Siddiqui () and
S. Gabriel ()
Networks and Spatial Economics, 2013, vol. 13, issue 2, 205-227
Abstract:
This paper presents a new method for solving mathematical programs with equilibrium constraints. The approach uses a transformation of the original problem via Schur’s decomposition coupled with two separate formulations for modeling related absolute value functions. The first formulation, based on SOS1 variables, when solved to optimality will provide a global solution to the MPEC. The second, penalty-based formulation is used to heuristically obtain local solutions to large-scale MPECs. The advantage of these methods over disjunctive constraints for solving MPECs is that computational time is much lower, which is corroborated by numerical examples. Finally, an application of the method to an MPEC representing the United States natural gas market is given. Copyright Springer Science+Business Media, LLC 2013
Keywords: Equilibrium problems; MPEC; EPEC; Shale; Natural gas; SOS type 1; Schur's decomposition (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11067-012-9178-y (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:netspa:v:13:y:2013:i:2:p:205-227
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11067/PS2
DOI: 10.1007/s11067-012-9178-y
Access Statistics for this article
Networks and Spatial Economics is currently edited by Terry L. Friesz
More articles in Networks and Spatial Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().