Document Type
Article
Publication Date
2-1-2016
Publication Source
IEEE Transactions on Parallel and Distributed Systems
Abstract
In this paper, we study a real-time information based demand-side management (DSM) system with advanced communication networks in smart grid. DSM can smooth peak-to-average ratio (PAR) of power usage in the grid, which in turn reduces the waste of fuel and the emission of greenhouse gas. We first target to minimize PAR with a centralized scheme. To motivate power suppliers, we further propose another centralized scheme targeting minimum power generation cost. However, customers may not be motivated by a centralized scheme since such a scheme requires total control and privacy from them. A centralized scheme also requires too much real-time data exchange for frequent DSM deployment. To tackle these issues, we propose game theoretical approaches so that most of the computation is performed locally. In the proposed game, all the customers are motivated by extra savings if participating. Moreover, we prove that all parties benefit from the DSM system to the same level because both the centralized schemes and the game theoretical approach minimize global PAR. Such an analysis is further demonstrated by the simulation results and discussions. Additionally, we evaluate the performance of several (partially) distributed approaches in order to find the best way to deploy DSM system.
Inclusive pages
329–339
ISBN/ISSN
1045-9219
Document Version
Postprint
Copyright
Copyright © 2016, IEEE
Publisher
IEEE
Place of Publication
Piscataway, NJ
Volume
27
Peer Reviewed
yes
Issue
2
eCommons Citation
Ye, Feng; Qian, Yi; and Hu, Rose Qingyang, "A Real-Time Information Based Demand-Side Management System in Smart Grid" (2016). Electrical and Computer Engineering Faculty Publications. 415.
https://ecommons.udayton.edu/ece_fac_pub/415
Included in
Computer Engineering Commons, Electrical and Electronics Commons, Electromagnetics and Photonics Commons, Optics Commons, Other Electrical and Computer Engineering Commons, Systems and Communications Commons
Comments
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