Analysis of a Model for the Optimization of Energy Demand generated by End Users in Smart Grids

Abstract

An optimization model is presented for the efficient energy management in smart grids (SGs) that integrate electricity generation, distribution, and storage in the residential sector. The model's objectives include minimizing the system's total operating costs, reducing users' dependence on the external power grid, and optimizing the use of internally generated energy. This optimization model is proposed for energy management in a SG focused on the residential sector, using renewable energy from photovoltaic panels (PV). This bottom-up engineering modeling approach centers on household consumption behavior. Therefore, factors such as household sociodemographic characteristics, income level, housing attributes and assets, energy expenditure by source, and the type and number of devices were considered.