Solving certain complementarity problems in power markets via convex programming
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G. Constante-Flores [1] ; A. J. Conejo [1]
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[1] Ohio State University
Ohio State University
City of Columbus, Estados Unidos
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- Localización: Top, ISSN-e 1863-8279, ISSN 1134-5764, Vol. 30, Nº. Extra 3, 2022, págs. 465-491
- Idioma: inglés
- Enlaces
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Resumen
We address the solution of certain Mathematical Programs with Equilibrium Constraints (MPECs) in power markets using convex optimization. These MPECs constitute a class of complementarity problems relevant to the design and operation of power markets. Specifically, given a non-convex continuous MPEC of the considered type, we iteratively solve a collection of convex optimization problems that approximate the MPEC until a pre-specified tolerance is reached. We use an insightful example to illustrate the proposed solution technique and a case study to analyze its computational performance.
