Computational Model for Microgeneration Simulation, From Solar and Wind Renewable Sources, With Optimal Allocation of Loads, Electric Vehicle and Energy Storage, In a Residential Electrical Micro Network

Abstract

The electrical sector is under constant evolution. One of the areas refers to the consumers that come to be generators, implementing distributed generation, interconnected to a smart grid. This article discusses the improvement of an algorithm, already presented in the literature, to make the best temporal allocation of loads, electric vehicle, storage and many sources of generation, aiming at the maximum financial performance, that is, the lowest value for the energy invoice The modeling consists of a Mixed Integer Linear Programming (MILP) algorithm, which considers each component of the system and weighs the maintenance and shelf life of storage devices, basically batteries, loads that can be reallocated and the concept of Vehicle-to-grid, performing a daily analysis. The simulation has considered the hypothetical case of a residence, in which are included storage, electric vehicle and redistribution of loads, as well as wind and solar generation. Several scenarios are simulated, with or without the presence of some of the components. The results indicate that the simplest model, only redistributing the loads, can provide a sensible monetary savings of approximately 60%, while with the application of all the components modeled, there can be a reduction in the invoice of 90%.

Distributed Generation Applied to Residential Self-Supply in South America in the Decade 2013–2023: A Literature Review

“…Another key innovation in DG that goes hand in hand with smart grids [53] is integrating energy storage systems, such as batteries, which enable greater flexibility and reliability in power supply to households [14,56]. Energy storage can also facilitate the integration of intermittent renewable energy sources, such as solar and wind, into the power grid [53].…”

“…Despite the potential of DG in the residential sector, its implementation in South America faces several challenges. These include the lack of adequate policies and regulatory frameworks [5,11], limited availability of financing [11,12], technical barriers [13,14], and the need to increase the awareness and education of the population regarding the benefits and opportunities of DG. Moreover, the geographic, economic, and cultural diversity in the region poses specific challenges for the adoption of DG in each country.…”