Modeling of Electric Vehicle Charging Systems in Communications Enabled Smart Grids

Author:

BAEK Seung Jun1,KIM Daehee1,OH Seong-Jun1,JUN Jong-Arm2

Affiliation:

1. College of Information and Communications, Korea University

2. Electronics and Telecommunications Research Institute

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference5 articles.

1. [1] R. Pratt, M. Scott, and M. Warwick, “Potential impacts of high penetration of plug-in hybrid vehicles on the U.S. power grid,” DOE/EERE PHEV Stakeholder Workshop, June 2007.

2. [2] M. Amin and B. Wollenberg, “Toward a smart grid: power delivery for the 21st century,” IEEE Power and Energy Magazine, vol.3, no.5, pp.34-41, 2005.

3. [3] T. Bonald, S.C. Borst, and A. Proutiere, “How mobility impacts the flow-level performance of wireless data systems,” Proc. IEEE INFOCOM, 2004.

4. [4] M. Baykal-Gursoy and W. Xiao, “Stochastic decomposition in M/M/∞ queues with Markov modulated service rates,” Queueing Systems, vol.48, pp.75-88, 2004.

5. Letter to the Editor: Electric Vehicle Demand Model for Load Flow Studies

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1. MFG-Based Decentralized Charging Control Design of Large-Scale PEVs with Consideration of Collective Consensus;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2022-07-01

2. Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism;IEEE Transactions on Smart Grid;2016-01

3. Review of the Power Grid Model Vulnerability Based on Complex Network Theory;Communications in Computer and Information Science;2012

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