Graph theory based topology design and energy routing control of the energy internet

Guo, H; Wang, F; James, G; Zhang, L; Luo, J

Graph theory based topology design and energy routing control of the energy internet

Guo, H Wang, F James, G

Zhang, L Luo, J

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Publication Type:: Journal Article
Citation:: IET Generation, Transmission and Distribution, 2018, 12 (20), pp. 4507 - 4514
Issue Date:: 2018-11-13

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Field	Value	Language
dc.contributor.author	Guo, H	en_US
dc.contributor.author	Wang, F	en_US
dc.contributor.author	James, G https://orcid.org/0000-0002-1347-0285	en_US
dc.contributor.author	Zhang, L	en_US
dc.contributor.author	Luo, J	en_US
dc.date.issued	2018-11-13	en_US
dc.identifier.citation	IET Generation, Transmission and Distribution, 2018, 12 (20), pp. 4507 - 4514	en_US
dc.identifier.issn	1751-8687	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131628
dc.description.abstract	© The Institution of Engineering and Technology 2018. As a core of energy internet, the energy router (ER) controlled by information flows can better realise the large scale utilisation of renewable energy. In order to build a cost-effective energy internet, a modified minimum spanning tree algorithm is proposed to optimise the cable layout among ERs, i.e. topology design. Considering the real-time and the asynchrony of power transmission in the above topology determined energy internet, an energy routing control method based on Dijkstra algorithm is put forward for source-and-load pairs to find a no-congestion minimum loss path. Besides, the loss allocation and congestion managements are realised at the same time. Finally, the simulation results prove the feasibility and effectiveness of proposed optimisation algorithms.	en_US
dc.relation.ispartof	IET Generation, Transmission and Distribution	en_US
dc.relation.isbasedon	10.1049/iet-gtd.2018.6238	en_US
dc.subject.classification	Energy	en_US
dc.title	Graph theory based topology design and energy routing control of the energy internet	en_US
dc.type	Journal Article
utslib.citation.volume	20	en_US
utslib.citation.volume	12	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	closed_access
pubs.issue	20	en_US
pubs.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

© The Institution of Engineering and Technology 2018. As a core of energy internet, the energy router (ER) controlled by information flows can better realise the large scale utilisation of renewable energy. In order to build a cost-effective energy internet, a modified minimum spanning tree algorithm is proposed to optimise the cable layout among ERs, i.e. topology design. Considering the real-time and the asynchrony of power transmission in the above topology determined energy internet, an energy routing control method based on Dijkstra algorithm is put forward for source-and-load pairs to find a no-congestion minimum loss path. Besides, the loss allocation and congestion managements are realised at the same time. Finally, the simulation results prove the feasibility and effectiveness of proposed optimisation algorithms.

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http://hdl.handle.net/10453/131628