Desarrollo de una herramienta computacional para la realización del Despacho Económico Coordinado del Mercado Andino Eléctrico Regional de Corto Plazo (MAERCP)

Abstract

The present degree work aims to develop a computational tool through the Python programming language, which allows the execution of the Coordinated Economic Dispatch, as defined in Decision CAN 816. The document begins with the description of the Agreement of Cartagena, which established the bases to achieve the objectives of Andean subregional integration, in which context CAN Decision 816 was approved "Regulatory framework for the subregional interconnection of electrical systems and intra-community exchange of electricity" that established the Short Term Regional Electric Andean Market (MAERCP). The optimization model is described, establishing the objective function to optimize, parameters, variables of the problem and the equality and inequality restrictions. Next, the methods used to solve the optimization problem, the Python libraries, the program in general and the programming algorithm are described. Once the computational tool is established, it is validated, for which several simulations are carried out with the data provided by the National electricity operator (CENACE). Additionally, sensitivity scenarios are simulated in which variations in the limits of the maximum capacity of flows through the links and maximum variations in the TIE are considered.