Energy demand side management with supply constraints: Game theoretic approach

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Title: Energy demand side management with supply constraints: Game theoretic approach
Authors: Noor, S
Guo, M
Van Dam, KH
Shah, N
Wang, X
Item 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.
Editors: Yan, J
Wang, C
Yu, J
Jia, H
Wu, J
Xu, T
Zhang, Y
Issue Date: 1-Jan-2018
Date of Acceptance: 1-Jul-2018
URI: http://hdl.handle.net/10044/1/69067
DOI: https://dx.doi.org/10.1016/j.egypro.2018.04.066
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/Funder: Engineering and Physical Sciences Research Council
Funder's Grant Number: EP/N034740/1
Conference Name: Applied Energy Symposium and Forum on Renewable Energy Integration with Mini/Microgrid Systems (REM)
Keywords: 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
Conference Place: Tianjin, Peoples Republic of China
Open Access location: https://www.sciencedirect.com/science/article/pii/S1876610218300742
Online Publication Date: 2018-07-19
Appears in Collections:Centre for Environmental Policy
Chemical Engineering
Faculty of Natural Sciences



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