Asignación de recursos energéticos con alta incertidumbre para el despacho en plantas virtuales de energía basado en la óptima respuesta de la demanda.

Abstract

In this document shows the analysis of the behavior of Virtual Power Plants (VPP) is carried out to be immersed in the electrical network in search of maintaining energy quality at a lower cost and with renewable energy resources through the implementation of an optimal allocation heuristic of resources based on the Hungarian model, which will allow verifying the amount of power that the VPP can exchange each hour with the electricity grid, considering and modeling high uncertainty stochastic variables such as the solar resource, wind speed and behavior of the demand to develop an optimal response to demand (DR), considering it the most profitable and reliable solution to the problems that electricity networks present today. Two case studies are proposed, the first that simulates the behavior of the electrical network on a working day and the second that simulates the behavior of the electrical network on a non-working day, thus having variation in load and the percentage of generation for different types of technology.