Evolutionary game theoretic demand-side management and control for a class of networked smart grid

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dc.contributor.author Zhu, Bing
dc.contributor.author Xia, Xiaohua
dc.contributor.author Wu, Zhou
dc.date.accessioned 2016-05-05T06:57:44Z
dc.date.issued 2016-08
dc.description.abstract In this paper, a new demand-side management problem of networked smart grid is formulated and solved based on evolutionary game theory. The objective is to minimize the overall cost of the smart grid, where individual communities can switch between grid power and local power according to strategies of their neighbors. The distinctive feature of the proposed formulation is that, a small portion of the communities are cooperative, while others pursue their own benefits. This formulation can be categorized as control networked evolutionary game, which can be solved systematically by using semi-tensor product. A new binary optimal control algorithmis applied to optimize transient performances of the networked evolutionary game. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2017-09-30
dc.description.librarian hb2016 en_ZA
dc.description.uri http://www.elsevier.com/locate/automatica en_ZA
dc.identifier.citation Zhu, B, Xia, X & Wu, Z 2016, 'Evolutionary game theoretic demand-side management and control for a class of networked smart grid', Automatica, vol. 70, pp. 94-100. en_ZA
dc.identifier.issn 0005-1098 (print)
dc.identifier.issn 1873-2836 (online)
dc.identifier.other 10.1016/j.automatica.2016.03.027
dc.identifier.uri http://hdl.handle.net/2263/52454
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2016 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Automatica. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Automatica, vol. 70, pp. 94-100, 2016. doi : 10.1016/j.automatica.2016.03.027. en_ZA
dc.subject Demand-side management en_ZA
dc.subject Game theory en_ZA
dc.subject Semi-tensor product en_ZA
dc.subject Optimal control en_ZA
dc.subject Binary decision systems en_ZA
dc.title Evolutionary game theoretic demand-side management and control for a class of networked smart grid en_ZA
dc.type Postprint Article en_ZA


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