A multi-port converter based renewable energy system for residential consumers of smart grid

Jafari, M; Malekjamshidi, Z; Platt, G; Zhu, JG; Dorrell, DG

A multi-port converter based renewable energy system for residential consumers of smart grid

Jafari, M

Malekjamshidi, Z

Platt, G Zhu, JG

Dorrell, DG

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Publication Type:: Conference Proceeding
Citation:: IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015, pp. 5168 - 5173
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Jafari, M https://orcid.org/0000-0002-8521-8636	en_US
dc.contributor.author	Malekjamshidi, Z https://orcid.org/0000-0002-5951-620X	en_US
dc.contributor.author	Platt, G	en_US
dc.contributor.author	Zhu, JG https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.date.available	2015-09-15	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015, pp. 5168 - 5173	en_US
dc.identifier.isbn	9781479917624	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43326
dc.description.abstract	© 2015 IEEE. A fuzzy based energy management unit (FBEMU) for a renewable energy system (RES) is introduced in this paper. The RES includes solar PV panel and fuel cell stack as renewable sources and Battery and hydrogen tank as storage devices. A multi-port DC-DC converter is employed to integrate the renewable energies and supply the residential load via an inverter. The proposed system is able to operate in both grid connected and islanded modes for different energy management scenarios. The FBEMU defines the appropriate operation mode of DC-DC converter based on the predicted energy profiles of the load demand and PV generation considering the grid energy and fuel cell running costs and state of storage devices. Both long and short term energy predictions are used to define the operation modes of converter efficiently. A brief review on device level controller including small signal model of system and control loops are provided. The proposed system is simulated for a residential load considering an energy saving scenario.	en_US
dc.relation.ispartof	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society	en_US
dc.relation.isbasedon	10.1109/IECON.2015.7392911	en_US
dc.title	A multi-port converter based renewable energy system for residential consumers of smart grid	en_US
dc.type	Conference Proceeding
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 (Resources)
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
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. A fuzzy based energy management unit (FBEMU) for a renewable energy system (RES) is introduced in this paper. The RES includes solar PV panel and fuel cell stack as renewable sources and Battery and hydrogen tank as storage devices. A multi-port DC-DC converter is employed to integrate the renewable energies and supply the residential load via an inverter. The proposed system is able to operate in both grid connected and islanded modes for different energy management scenarios. The FBEMU defines the appropriate operation mode of DC-DC converter based on the predicted energy profiles of the load demand and PV generation considering the grid energy and fuel cell running costs and state of storage devices. Both long and short term energy predictions are used to define the operation modes of converter efficiently. A brief review on device level controller including small signal model of system and control loops are provided. The proposed system is simulated for a residential load considering an energy saving scenario.

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http://hdl.handle.net/10453/43326