NDLI: Aggregated load scheduling for residential multi-class appliances: Peak demand reduction

Content Provider	IEEE Xplore Digital Library
Author	Azar, A.G. Jacobsen, R.H. Qi Zhang
Copyright Year	2015
Description	Author affiliation: Dept. of Eng., Aarhus Univ., Aarhus, Denmark (Azar, A.G.; Jacobsen, R.H.; Qi Zhang)
Abstract	The Smart Grid represents an unprecedented opportunity to move the energy industry into a new era. In this context, Demand Response programs provide mechanisms to regulate the power demand through load control according to conditions of the supply side, where consumers can efficiently schedule the operation of their appliances. This paper has proposed an efficient local load scheduling optimization strategy for residential multi-class multi-constraint appliances by shifting and interrupting load requests to flatten the aggregated consumption. One scenario for each smart house, including the desirable usage schedule of its appliances in a 24-hour period, is considered. The proposed strategy has supposed a time-independent constant electricity consumption threshold, imposed by the grid stability management, in each time interval. The demand response system attempts to optimally schedule the received load requests over time, aiming at flattening the aggregated consumption meanwhile, maximizing satisfaction of consumers. The results have indicated that decreasing the electricity consumption threshold up to 60% of the maximum peak demand results in significant aggregated consumption flattening and also admissible delay in appliance reception.
Starting Page	1
Ending Page	6
File Size	332414
Page Count	6
File Format	PDF
ISBN	9781467366922
ISSN	21654093
DOI	10.1109/EEM.2015.7216702
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-19
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Home appliances Schedules Lighting Electric vehicles Supply and Demand Scheduling Delays Load Management Optimization 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
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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