Modelo de despacho óptimo de energía eléctrica de corto plazo para la microrred Baltra Santa Cruz considerando restricciones de seguridad.

Abstract

Changing the energy matrix in the Galapagos Islands is a very challenging task. The existing variability in the primary resource, such as wind speed, temperature, and solar irradiation, make generation power a very difficult variable to predict correctly. This work analyses the proposal to migrate the Baltra-Santa Cruz electrical system to a microgrid, combining renewable energy sources (wind and photovoltaic) with conventional non-renewable energy sources and battery energy storage systems (BESS). This range of generation sources and their interaction with demand and BESS turns the short-term energy dispatch problem into a dynamic, multivariate, and stochastic problem. In this thesis, an innovative methodology is proposed to solve this dispatch problem and, in addition, to overcome the limitations present in traditional methodologies. The methodology is proposed and evaluated in the Baltra - Santa Cruz microgrid, an interaction, orchestrated by Python, between PowerFactory and SimSEE, in which the static and dynamic security of the microgrid is evaluated and, at the same time, the optimal energy dispatch is obtained subject to additional security constraints.