Analysis of renewable energy sources and electrical vehicles integration into microgrid with fuzzy logic control system

Abstract

The rise in pollution levels, leading to the emission of greenhouse gas emissions and the subsequent phenomenon of global warming, is anticipated to stimulate the expansion of Electrical Vehicles (EVs). Consequently, EVs will establish a connection with the electrical grid within this timeframe. The implementation of this technology will significantly influence the voltage profiles and loads of grid components. The study centered on the modeling and analysis of the integration of renewable energy sources and EVs into a micro grid. The micro grid comprises four essential elements: a diesel generator functioning as the primary power supply, a combination of a Photovoltaic (PV) farm and a wind farm for generating electricity, and a Vehicle-to Grid (V2G) system positioned near the micro grid’s load. The continuous increase in their energy production rate makes micro grids important. Micro grids can be designed to meet the energy needs of different establishments, including hospitals, universities, and EVs charging stations, as well as the energy demands of a district, town, or industrial site. Charging stations are essential for the purpose of replenishing the battery of an EVs. This paper investigates the influence of EVs on the micro grid network. EVs integrate non-linear circuit components into their structures In addition, the modeling and analysis of the renewable energy sources and EVs integration into the micro grid has been presented. Also, this paper reviews the analysis of the micro grid with EVs using Matlab/Simulink.