NDLI: Offline preemptive scheduling of power demands to minimize peak power in smart grids

Content Provider	IEEE Xplore Digital Library
Author	Ranjan, A. Khargonekar, P. Sahni, S.
Copyright Year	2014
Description	Author affiliation: Univ. of Florida, Gainesville, FL, USA (Ranjan, A.; Khargonekar, P.; Sahni, S.)
Abstract	We consider the scheduling of flexible electric loads in a smart grid so as to minimize peak power demand. Specifically, we focus on the case when the loads are preemptable, their power requirement and duration are known in advance, and they have the same earliest start time and the same deadline. Our main results are (a) when power requests are scheduled preemptively, the peak power demand can be reduced by up to 50% relative to when these requests are scheduled non-preemptively, (b) preemptive scheduling to minimize peak power demand is NP-hard, (c) schedules with minimum peak power demand may be constructed using integer linear programming, and (d) the next-fit decreasing height heuristic may be used to quickly obtain schedules whose peak power demand is at most two times that of the optimal schedule when all jobs are preemptable and at most three times the optimal when only some jobs are preemptable. Experimental results for the integer linear program and the heuristic are also presented. Our experiments indicate a significant reduction in peak power when preemption is exploited. For example, on our data sets recharging collections of electric and plug-in hybrid vehicles without preemption required up to 26% more peak power than when this was done preemptively.
Starting Page	1
Ending Page	6
File Size	414601
Page Count	6
File Format	PDF
ISBN	9781479942770
DOI	10.1109/ISCC.2014.6912525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Optimal scheduling Power demand Strips Approximation methods Vehicles Scheduling
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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