NDLI: A novel technique to enhance demand responsiveness: An EV based test case

Content Provider	IEEE Xplore Digital Library
Author	Astaneh, M.F. Bhattarai, B.P. Bak-Jensen, B. Weihao Hu Pillai, J.R. Zhe Chen
Copyright Year	2015
Description	Author affiliation: Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark (Astaneh, M.F.; Bhattarai, B.P.; Bak-Jensen, B.; Weihao Hu; Pillai, J.R.; Zhe Chen)
Abstract	In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivizing consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.
Starting Page	1
Ending Page	5
File Size	286938
Page Count	5
File Format	PDF
e-ISBN	9781467381321
DOI	10.1109/APPEEC.2015.7380885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Demand side management Asia Pricing Price-based load shifting Filling Demand response Electric vehicle Smart grids Distribution grid Vehicles
Content Type	Text
Resource Type	Article

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