NDLI: Negotiation-based task scheduling to minimize user’s electricity bills under dynamic energy prices

Content Provider	IEEE Xplore Digital Library
Author	Ji Li Yanzhi Wang Tiansong Cui Nazarian, S. Pedram, M.
Copyright Year	2014
Description	Author affiliation: Univ. of Southern California, Los Angeles, CA, USA (Ji Li; Yanzhi Wang; Tiansong Cui; Nazarian, S.; Pedram, M.)
Abstract	Dynamic energy pricing is a promising technique in the Smart Grid that incentivizes energy consumers to consume electricity more prudently in order to minimize their electric bills meanwhile satisfying their energy requirements. This has become a particularly interesting problem with the introduction of residential photovoltaic (PV) power generation facilities. This paper addresses the problem of task scheduling of (a collection of) energy consumers with PV power generation facilities, in order to minimize the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price is both time-of-use and total power consumption-dependent. A negotiation-based iterative approach has been proposed that is inspired by the state-of-the-art Field-Programmable Gate Array (FPGA) routing algorithms. More specifically, the negotiation-based algorithm is used to rip-up and re-schedule all tasks in each iteration, and the concept of congestion is effectively introduced to dynamically adjust the schedule of each task based on the historical scheduling results as well as the (historical) total power consumption in each time slot. Experimental results demonstrate that the proposed algorithm achieves up to 51.8% improvement in electric bill reduction compared with baseline methods.
Starting Page	1
Ending Page	6
File Size	489560
Page Count	6
File Format	PDF
ISBN	9781479973842
DOI	10.1109/OnlineGreenCom.2014.7114421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Power demand Dynamic Pricing Pricing Routing Scheduling Algorithm Field programmable gate arrays Power generation 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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