NDLI: Fuzzy logic-based charging strategy for Electric Vehicles plugged into a smart grid

Content Provider	IEEE Xplore Digital Library
Author	Eajal, A.A. Shaaban, M.F. El-Saadany, E.F. Ponnambalam, K.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., American Univ., Sharjah, United Arab Emirates (Shaaban, M.F.) \|\| Dept. of Syst. Eng. Design, Univ. of Waterloo, Waterloo, ON, Canada (Ponnambalam, K.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada (Eajal, A.A.; El-Saadany, E.F.)
Abstract	The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can plug their Electric Vehicles (EVs) into the grid to charge and discharge their vehicles' batteries. However, charging of the electric vehicles, especially during the peak periods, can adversely impact the grid performance. Thus, in this paper, the coordinated charging of the electric vehicles problem is tackled. A fuzzy logic-based approach is developed to coordinate the electric vehicle charging such that the system minimum voltage is within the allowable limits. The inputs to the Fuzzy Charging Controller (FCC) include the States of Charge (SOC) of the electric vehicles, the grid parameters represented in the system minimum voltage, and the hourly energy price. The output of the FCC is the charging levels of the electric vehicles' batteries. The developed fuzzy logic-based charging strategy was validated on the 69-bus test system. The Fuzzy Charging (FC) was compared with three modes of uncoordinated charging, namely Slow Charging (SC), Medium Charging (MC), and Fast Charging (FC). The results of the comparative study prove the superiority of the developed fuzzy charging approach over uncoordinated charging schemes.
Starting Page	1
Ending Page	6
File Size	161804
Page Count	6
File Format	PDF
e-ISBN	9781467379328
DOI	10.1109/SEGE.2015.7324606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Charging FCC Electric vehicles Smart grids Batteries Voltage control Smart grid
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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