NDLI: PEVs modeling for assessment of vehicular charging scenarios on distribution system

Content Provider	IEEE Xplore Digital Library
Author	Donghua Wang Chengxiong Mao Minwei Wang Hua Fan Jiming Lu Dan Wang
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China (Donghua Wang; Chengxiong Mao; Minwei Wang; Hua Fan; Jiming Lu; Dan Wang)
Abstract	The increased penetration of plug-in electric vehicles (PEVs) in the market is likely to increase the total electricity consumption and add a sizable burden on distribution system operation. A novel PEV charging load model is developed to accurately estimate the effects of the potential vehicular charging load on the distribution system. This model is composed of driving pattern model and energy consumption model, and is addressed in a stochastic framework considering the random charging start time, initial battery state-of-charge (SOC), vehicle locations and ambient temperature effect. In this paper, three different charge strategies are presented to control PEVs charging and the PEVs charging effects on the distribution grid is analyzed using the standard power flow calculations. A case study using the proposed charge strategies verify the benefits of the choice of optimal methods in an IEEE 33-bus system. The application of the two optimal algorithms verifies the relationship between load variance and network losses approximately depends on system topology and sometimes almost equivalent. Moreover, vehicle location is found to be an important factor in coordination, and the impacts are investigated to be decreased when a well-developed charge infrastructure is in place. In addition, the optimal distribution of PEVs charging at different locations would give a reference for system upgrades and charging infrastructure construction.
Starting Page	3090
Ending Page	3097
File Size	795164
Page Count	8
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993580
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Batteries Resistance Energy consumption System-on-chip Probability Load modeling vehicular charging scenarios Charging load model distribution system load variance losses minimization plug-in electric vehicles
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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