NDLI: Real-time plug-in electric vehicles charging control for V2G frequency regulation

Content Provider	IEEE Xplore Digital Library
Author	Tan Ma Mohammed, O.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA (Tan Ma; Mohammed, O.)
Abstract	In this paper, a real-time energy management algorithm for charging a plug-in electric vehicles (PEVs) network in a large urban area with renewable energy resources is proposed. In this system, the PEVs charging rates are controlled by a central aggregator through wireless communication. A statistical forecasting model of the energy requirement of the PEVs network at different times during the day is developed based on statistical US drivers' driving habits. With historical solar irradiance, and wind speed in this area, genetic algorithm (GA) is used to find the optimal scale of the renewable farm that can feed proper power for the PEVs network. Meanwhile, this urban area has a certain amount of local load that follows a daily pattern. Through vehicle to grid (V2G) and vehicle to vehicle (V2V) services, the proposed power optimization algorithm based on fuzzy logic control is used to minimize the impact of charging PEVs to the power grid, maximize the utilization of renewable energy and help the power grid to regulate the utility frequency, which will benefit the utility AC grid, PEVs network and its customers. The simulation results based on a large PEVs network demonstrate that the proposed smart charging algorithm can effectively limit the PEVs charging impact and help the grid regulate the frequency.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	1197
Ending Page	1202
File Size	2092686
Page Count	6
File Format	PDF
ISBN	9781479902248
ISSN	1553572X
DOI	10.1109/IECON.2013.6699303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency control Renewable energy sources Batteries Wind speed Vehicles Real-time systems Energy consumption renewable energy resources scheduling charging optimization frequency regulation fuzzy logic plug-in electric vehicles network real-time power flow management
Content Type	Text
Resource Type	Article

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