Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid

Zhang, X; Yu, T; Yang, B; Li, L

Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid

Zhang, X Yu, T Yang, B Li, L

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Publication Type:: Journal Article
Citation:: Energy, 2016, 101 pp. 34 - 51
Issue Date:: 2016-04-15

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Field	Value	Language
dc.contributor.author	Zhang, X	en_US
dc.contributor.author	Yu, T	en_US
dc.contributor.author	Yang, B	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.issued	2016-04-15	en_US
dc.identifier.citation	Energy, 2016, 101 pp. 34 - 51	en_US
dc.identifier.issn	0360-5442	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122806
dc.description.abstract	© 2016 Elsevier Ltd. This paper proposes a decentralized collaborative control framework of autonomous VGT (virtual generation tribe) for smart grid. A VGT-CCA (VGT based collaborative consensus algorithm) is firstly developed to solve the dynamic GCD (generation command dispatch) optimization of the AGC (automatic generation control) under an ideal communication network. Then a novel CCA VGT-RCCA (VGT based robust CCA) is designed by introducing the consensus gain functions and virtual consensus variables, which provides significant robustness to a practical communication network consisted with switching topology, transmission delay and noise. The performance of VGT-CCA and VGT-RCCA has been evaluated on a typical two-area load frequency control model and the China southern power grid model, respectively. Simulation results verify the effectiveness of the proposed algorithms.	en_US
dc.relation.ispartof	Energy	en_US
dc.relation.isbasedon	10.1016/j.energy.2016.02.009	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Energy	en_US
dc.title	Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid	en_US
dc.type	Journal Article
utslib.citation.volume	101	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	101	en_US

Abstract:

© 2016 Elsevier Ltd. This paper proposes a decentralized collaborative control framework of autonomous VGT (virtual generation tribe) for smart grid. A VGT-CCA (VGT based collaborative consensus algorithm) is firstly developed to solve the dynamic GCD (generation command dispatch) optimization of the AGC (automatic generation control) under an ideal communication network. Then a novel CCA VGT-RCCA (VGT based robust CCA) is designed by introducing the consensus gain functions and virtual consensus variables, which provides significant robustness to a practical communication network consisted with switching topology, transmission delay and noise. The performance of VGT-CCA and VGT-RCCA has been evaluated on a typical two-area load frequency control model and the China southern power grid model, respectively. Simulation results verify the effectiveness of the proposed algorithms.

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http://hdl.handle.net/10453/122806