Energy demand side management with supply constraints: Game theoretic approach
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Published version
Author(s)
Noor, Sana
Guo, Miao
van Dam, Koen H
Shah, Nilay
Wang, Xiaonan
Type
Conference Paper
Abstract
The management of energy supply and demand is becoming more challenging in regions where the demand continues to grow rapidly and more intermittent renewable supply sources are added to the energy infrastructure. In this context, Demand Side Management (DSM) can be employed to improve reliability of supply and stretch the capacity limits of the existing grid infrastructure. A game theoretic approach for DSM model incorporating storage components is suggested in this paper for environments with supply constraints. The proposed model is able to not only reduce the Peak-to-Average ratio to benefit the electric grid, but also smoothen the dips in load profile caused by supply constraints.
Editor(s)
Yan, J
Wang, C
Yu, J
Jia, H
Wu, J
Xu, T
Zhang, Y
Date Issued
2018-07
Date Acceptance
2018-07-01
Citation
Energy Procedia, 2018, 145, pp.368-373
ISSN
1876-6102
Publisher
Elsevier
Start Page
368
End Page
373
Journal / Book Title
Energy Procedia
Volume
145
Copyright Statement
© 2018 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0 - https://creativecommons.org/licenses/by-nc-nd/4.0/).
Sponsor
Engineering and Physical Sciences Research Council
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450514200060&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/N034740/1
Source
Applied Energy Symposium and Forum on Renewable Energy Integration with Mini/Microgrid Systems (REM)
Subjects
Science & Technology
Technology
Green & Sustainable Science & Technology
Energy & Fuels
Science & Technology - Other Topics
Demand Side Management
Game theory
Storage
Supply constraints
Publication Status
Published
Start Date
2017-10-18
Finish Date
2017-10-20
Coverage Spatial
Tianjin, Peoples Republic of China
Date Publish Online
2018-07-19