Minimization of energy transmission cost and CO2 emissions using coordination of electric vehicle and wind power (W2V)

In recent years, the electrical energy distribution network is at the heart of energy and environmental changes that affect our society. In fact, many applications use the electric vector in order to increase their energy efficiency. This is particularly the case of electric vehicles (EVs), wind and solar power generation. However, these means of production are often intermittent and not in conjunction with power consumption. Therefore, the lack of control of these evolutions may lead to technical and financial problems. This strategy would be a real obstacle to the development of EVs. So, the paper deals with an approach based on fuzzy logic control that allows EV peaks power shaving, and coordination of wind power excess and EVs load. This will enable the Distribution System Operator (DSO) to limit its energy transmission costs and CO₂ emissions. The supervision strategy is applied to a real test system, and its performance is shown with the help of simulations using Matlab/Simulink.