Chica-Medrano, S. M., Araque-Giraldo, C. A., Mendoza-Villalba, F. A., Salazar-Vanegas, C. E., Carreño-Rincón, O. M., and López-Lezama, J. M.
Subjects
*RENEWABLE energy sources, *INTEGER programming, *PROBLEM solving, *PYTHON programming language, *ALGORITHMS, *MIXED integer linear programming
Abstract
This document presents in detail the mathematical formulation of the second renewable energy auction in Colombia, used for the allocation of long-term energy contracts, which was carried out through a double-sided auction, defined in Resolutions 4-0590 and 4-0591 of 2019 from the UPME. The mixed integer linear programming model developed in this paper solves an optimization problem that seeks the combination of offers that maximizes the benefit of the consumer, subject to operational and economic constraints proposed by regulatory mechanisms. The effectiveness of the algorithm developed in Python was tested by validating it with real data, obtaining the same results published by UPME. [ABSTRACT FROM AUTHOR]