Modelo estocástico de planificación de largo plazo de microredes eléctricas aisladas

Abstract

In this work, a static model is presented for the solution of long-term stochastic planning of isolated electrical microgrids under uncertainty of demand, wind and photovoltaic renewable generation. This model makes it possible to optimize investment costs and operating costs for the Expansion of the Transmission, Generation and Storage of energy Planning. The model makes it possible to adequately plan the interconnection of microgrids that are close enough to each other through alternating and direct current lines, also taking into account the investment in new generation and energy storage units through the formulation of two stages. In the first stage, when considering a static model, the costs related to investment decisions will be made at the beginning of the planning horizon. In the second stage, the costs of operating decisions are made under uncertainty for a certain planning horizon. The model has been implemented in General Algebraic Modeling System (GAMS), a computational tool that allows the optimization of mathematical models. The results of the model have been analyzed using the MATLAB interface. The model is applied to a system proposed by the author and later to a test system generally used for the planning of Electrical Power Systems called the Garver six-node system, to which adjustments have been made, obtaining a Modified Garver system that allows making comparable with a electrical microgrids system.