A novel electric vehicles fleet control strategy for micro grids with fuzzy based vehicle prioritization considering battery longevity. (17th August 2021)

• Record Type: Journal Article
• Authors: Ramalingeswar, J. T.; Subramanian, K.
• Is Part Of: International transactions on electrical energy systems. Volume 31:Number 11(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-17
• Subjects: EV -- EV ranking -- load flattening -- solar PV -- WFA; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/2050-7038.13065
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: Transportation has become one of the major contributors to emissions. Global concerns on emissions reduction have led to the drastic adoption of renewable sources and Electric Vehicles (EV). Stochastic nature is the predominant aspect of renewables for which energy storage is indispensable. The coordination of renewables and EVs storage will bring new opportunities in handling the stochastic nature of heterogeneous entities of Micro Grids (MG). This article proposes a novel EV fleet control strategy for MG Energy Management System (EMS). Here, reducing grid dependency and operating energy cost of the MG are the key objectives. A smart FUZZY based EV prioritization is developed. A probabilistic approach is developed to estimate the chance of EV usage for the smart decision on choosing EVs while supporting EMS. Minimizing battery degradation and maximizing EV storage exploitation are the key objectives of EV prioritization. Optimal Energy Distribution (OED) is accomplished using Water Filling Algorithm (WFA). The proposed EMS is implemented in a real time on‐grid MG scenario hosting solar Photovoltaic (Solar PV), EV fleet, and Diesel Generators (DG). A comprehensive cost analysis has been presented and the efficacy of the proposed EMS is analyzed. Abstract : Depiction of proposed MG scenario with EMS