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