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A User-Oriented Pricing Design for Demand Response in Smart Grid
Joint Authors
Zhou, Yanglin
Cheng, Lin
Ci, Song
Yang, Yang
Ma, Shiqian
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Demand response (DR) programs are designed to affect the energy consumption behavior of end-users in smart grid.
However, most existing pricing designs for DR programs ignore the influence of end-users’s diversity and personal preference.
Thus, in this paper, we investigate an incentive pricing design based on the utility maximization rule with consideration of end-users’ preference and appliances’ operational patterns.
In particular, the utility company determines the pricing policy by trading off the budget revenue and social obligation, while each end-user aims to maximize their own utility profits with high satisfaction level by scheduling multiclass appliances.
We formulate the conflict and cooperative relationship between the utility company and end-users as a Stackelberg game, and the equilibrium points are obtained by the backward induction method, which exists and is unique.
At the equilibrium, the utility company adopts real-time pricing (RTP) scheme to coordinate end-users to fulfill the benefit of themselves, i.e., under such price, end-users automatically maximize overall utility profits of the overall system.
We propose a distributed algorithm and an adaptive pricing scheme for the utility company and end-users to jointly achieve the best performance of the entire system.
Finally, extensive simulation results based on real operation data show the effectiveness of the proposed scheme.
American Psychological Association (APA)
Zhou, Yanglin& Cheng, Lin& Ci, Song& Yang, Yang& Ma, Shiqian. 2019. A User-Oriented Pricing Design for Demand Response in Smart Grid. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212301
Modern Language Association (MLA)
Zhou, Yanglin…[et al.]. A User-Oriented Pricing Design for Demand Response in Smart Grid. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1212301
American Medical Association (AMA)
Zhou, Yanglin& Cheng, Lin& Ci, Song& Yang, Yang& Ma, Shiqian. A User-Oriented Pricing Design for Demand Response in Smart Grid. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212301
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212301