Modelo de optimización AC -programación no lineal entera mixta- para la planificación de la expansión de los sistemas de transmisión de energía eléctrica.

Abstract

In the present project, a mathematical optimization model was proposed, that allows solving the problem of Electric Energy Transmission System Expansion Planning (TEP). Its formulation is based in Mixed Integer Nonlinear Programming (MINLP), making use of the complete AC power flow equations. Thus, achieving a realistic representation of the power system, which includes the largest number of electrical parameters that form the Electric Power System. A static model was proposed that seeks to answer the questions, where and how many transmission links should be added to the Electric Power System (EPS). In addition, an improved quasi-static model was proposed that also answer the question when this element should be added in a determined planning horizon. In such a way that the EPS can operate and transport energy efficiently from the generation plants to the charging points. The model complies with optimization criteria such as minimizing investment costs for new links, minimization of annual operating cost of operational links, minimization of dispatch from conventional generation plants. In addition, the possibility of including new unconventional generation plants is raised under determined situational scenarios. As well as the Reactive Power Planning (RPP) to reduce the number of new transmission links. The optimization model is solved by the GAMS computational tool using the Garver and the 24-bar IEEE power systems. Its validity is evaluated through its resolutions in twelve situational scenarios, whose power flows were simulated in the PowerFactory tool.