DocumentCode
164378
Title
A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration
Author
Wang Zhang ; Guo Chen ; Yu Su ; Zhaoyang Dong ; Jueyou Li
Author_Institution
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear
2014
fDate
Sept. 28 2014-Oct. 1 2014
Firstpage
1
Lastpage
5
Abstract
In the smart grid environment, customers are offered to participate more actively in the electricity energy market with the promise of demand side management (DSM) with distributed energy resources and energy storage. By utilizing proper incentive scheme such as dynamic pricing, numerous objectives could be achieved so that it could benefit both the utility companies and consumers. In this paper, a smart grid environment with multiple users with renewable energy and energy storage devices equipped with smart meters and energy management devices (EMD) is considered. We present a fast distributed algorithm for demand-side management based on the social welfare maximization problem under the dynamic pricing scheme. We also introduced the dynamic game to illustrate the interaction between the utility company and its subscribers, which eventually leads to an equilibrium point. The simulation result validates that the proposed demand side management framework with real time pricing has an effective impact on reducing the peak demand as well as utilizing the renewable energy resources and energy storage devices.
Keywords
demand side management; distributed algorithms; energy storage; game theory; optimisation; renewable energy sources; smart meters; smart power grids; EMD; demand side management; dynamic game behavior; dynamic pricing scheme; energy management devices; energy storage devices; fast distributed algorithm; real time pricing; renewable energy resources; smart grid environment; smart meters; social welfare maximization problem; storage integration; utility maximization; Companies; Educational institutions; Electricity; Energy storage; Games; Pricing; Smart grids; demand side management; distributed optimization; dynamic game; real time pricing; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location
Perth, WA
Type
conf
DOI
10.1109/AUPEC.2014.6966581
Filename
6966581
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