Maximum exploitation of electric vehicle storage in smart micro grids with stochastic renewable sources

Dramatic growth in adoption of Renewable Energy Sources (RES) and Electric Vehicles (EV) has led to multiple advantages and challenges in Micro grid (MG) scenario. In this article, a novel prioritization based EV control strategy is implemented in an On-Grid MG (OGMG) scenario. The key objective is to minimize energy cost with maximum utilization of EV storage. The proposed strategy is implemented as a two layer Energy Management System (EMS). Initially Multi Objective Optimization Problem (MOOP) is formulated with two objectives in order to obtain Optimal Power usage (OPU). In second layer of control, Smart EV Prioritization (SEP) is developed that aims to maximize EV storage exploitation and battery longevity. SEP is executed with the help of an adoptive neuro-fuzzy inference system (ANFIS). Multiple decision variables are involved in SEP among which EV usage probability (EUP) and EV owner willingness (EOW) plays a vital role. Both EOW and SEP In the result section, comprehensive analysis is presented with different case studies.