Yunus K, De La Parra HZ, Reza M (2011) Distribution grid impact of plug-in electric vehicles charging at fast charging stations using stochastic charging model. Energy 112:669–678įan P, Sainbayar B, Ren S (2015) Operation analysis of fast charging stations with energy demand control of electric vehicles. Zenginis I, Vardakas JS, Zorba N, Verikoukis CV (2016) Analysis and quality of service evaluation of a fast charging station for electric vehicles.
In: Power energy society general meeting, 2009, Jul.26–30, 2009, pp.1 Calgary, AB: Institute of Electrical and Electronics Engineer Mohseni P, Stevie RG (2009) Electric vehicles: holy grail or fool’s gold. A prioritization based EV strategy is proposed using Adaptive Neuro-Fuzzy Inference System (ANFIS) with four decision constraints. This work mainly focuses on maximization of EV storage usage with consideration of battery degradation. There has been numerous EV control strategies proposed for Vehicle to Grid (V2G) and Grid to Vehicle (G2V) operations since last decade. Above all, EV usage for grid energy management should not put EV owner in a chaotic state. In order to use EVs as virtual storage units, one has to ensure all the constraints and limitations that are involved. The EV’s storage can be utilized to support the energy management in the micro grids and other flexible areas like industries and educational organizations. On the other hand, the advanced technologies are helping to address the issues that arise due to the heterogeneous entities such as Intermittent Renewable Energy Resources (IRER) and Electric Vehicles (EV). The growth of smart grids has led to the number of challenges to maintain the power quality and reliability.
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