Diseño de un sistema energético autosustentable moderno para hogares mediante el desarrollo de un sistema de gestión de energía (HEMS) y la aplicación de un algoritmo de optimización estocástico.

Abstract

The project proposes a stochastic optimization methodology to determine the optimal capacity of photovoltaic microgeneration with energy storage to be installed in a household. It begins with the modelling of the energy resources that are part of the residence, such as photovoltaic microgeneration, energy storage system, electric vehicles in operation V2H, demand and smart grid. A Home Energy Management System – HEMS is developed, which manages the optimal use of energy resources 24 hours a day.

Probability distribution functions are used to mathematically model random variables such as radiation, ambient temperature, demand, time of entry and exit of the electric vehicle. Through Montecarlo Simulations and the particle swarm optimizer MCS – PSO, a solution to the problem of sizing photovoltaic capacities with energy storage to be installed in a home is proposed. The results allow analyzing the importance of energy management systems, possible savings by including new technologies in the home, the use of electric vehicles as storage system and contributes to the field of study in this subject that is constantly growing.