NDLI: Intelligent energy management system simulator for PHEVs at municipal parking deck in a smart grid environment

Content Provider	IEEE Xplore Digital Library
Author	Kulshrestha, P. Lei Wang Mo-Yuen Chow Lukic, S.
Copyright Year	2009
Description	Author affiliation: NCSU, Raleigh, U.S.A. (Lei Wang; Mo-Yuen Chow; Lukic, S.) \|\| North Carolina State University (NCSU), Raleigh, U.S.A. (Kulshrestha, P.)
Abstract	There is a need for in-depth study of technologies that will affect the utility industry in a time horizon of less than 20 years. One such technology is the plug-in vehicle (PHEV); there is a need for energy management when a large number of plug-in hybrid vehicles penetrate the market. In this paper, we propose an “intelligent energy management system (iEMS)” that intelligently allocates power to the vehicle battery chargers through real time monitoring and control, to ensure optimal usage of available power, charging time and grid stability. We begin by conceptualization of the system architecture and description of its operation and provide a theoretical framework for system modeling. A detailed PHEV battery model and state of charge estimation algorithm are also being developed to simulate different PHEVs to be recharged at a municipal parking deck. We will present the simulator we have developed for representing the iEMS using Matlab/Simulink and discuss obtained results and future directions.
Starting Page	1
Ending Page	6
File Size	1479263
Page Count	6
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent systems Energy management Smart grids Hybrid intelligent systems Intelligent vehicles Battery powered vehicles Real time systems Monitoring Optimal control Control systems SCADA systems batteries battery chargers discrete event simulation energy conservation energy management intelligent control modeling power distribution control power systems
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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