2 research outputs found

    Algoritmo basado en Python-Pyomo para el proceso de adjudicaci贸n de subastas de renovables en Colombia: Development of a Python-Pyomo based algorithm of the adjudication process of renewable auctions in Colombia

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    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.Este documento presenta de manera detallada la formulaci贸n matem谩tica de la segunda subasta de energ铆as renovables en Colombia, utilizada para la asignaci贸n de contratos a largo plazo de energ铆a, la cual se realiz贸 por medio de una subasta de dos puntas, definidas en las resoluciones 4-0590 y 4-0591 de 2019 de la UPME. El modelo de programaci贸n lineal entera mixta desarrollado en este art铆culo resuelve un problema de optimizaci贸n que busca la combinaci贸n de las ofertas que maximiza el beneficio del consumidor, sujeto a unas restricciones operativas y econ贸micas propuestas por los mecanismos de regulaci贸n. La efectividad del algoritmo desarrollado en Python se comprob贸 validando con datos reales, obteniendo los mismos resultados publicados por la UPME

    Algoritmo basado en Python-Pyomo para el proceso de adjudicaci贸n de subastas de renovables en Colombia: Development of a Python-Pyomo based algorithm of the adjudication process of renewable auctions in Colombia

    Get PDF
    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.Este documento presenta de manera detallada la formulaci贸n matem谩tica de la segunda subasta de energ铆as renovables en Colombia, utilizada para la asignaci贸n de contratos a largo plazo de energ铆a, la cual se realiz贸 por medio de una subasta de dos puntas, definidas en las resoluciones 4-0590 y 4-0591 de 2019 de la UPME. El modelo de programaci贸n lineal entera mixta desarrollado en este art铆culo resuelve un problema de optimizaci贸n que busca la combinaci贸n de las ofertas que maximiza el beneficio del consumidor, sujeto a unas restricciones operativas y econ贸micas propuestas por los mecanismos de regulaci贸n. La efectividad del algoritmo desarrollado en Python se comprob贸 validando con datos reales, obteniendo los mismos resultados publicados por la UPME
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