Development of a Fuzzy-Logic-Based Energy Management System for a Multiport Multioperation Mode Residential Smart Microgrid

Jafari, M; Malekjamshidi, Z; Lu, DDC; Zhu, J

Development of a Fuzzy-Logic-Based Energy Management System for a Multiport Multioperation Mode Residential Smart Microgrid

Jafari, M

Malekjamshidi, Z

Lu, DDC

Zhu, J

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2019, 34 (4), pp. 3283 - 3301
Issue Date:: 2019-04-01

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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	Lu, DDC https://orcid.org/0000-0003-2145-0580	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.available	2020-06-30T19:12:38Z
dc.date.issued	2019-04-01	en_US
dc.identifier.citation	IEEE Transactions on Power Electronics, 2019, 34 (4), pp. 3283 - 3301	en_US
dc.identifier.issn	0885-8993	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132861
dc.description.abstract	© 2018 IEEE. In this paper, a grid-tied residential smart microgrid topology is proposed, which integrates energies of a photo-voltaic (PV), a fuel cell, and a battery bank to supply the local loads through a combination of electric and magnetic buses. In contrast to multiple-converter-based microgrids with a common electric bus, using a multiport converter with a common magnetic bus can effectively reduce the number of voltage conversion stages, size, and cost of the renewable energy system and isolates the conversion ports. The resultant topology utilizes a centralized system level control that leads to a faster and more flexible energy management. The proposed microgrid is able to operate in multiple grid-connected and off-grid operation modes. A fuzzy controlled energy management unit (EMU) is designed to select the appropriate operation mode considering both real-time and long-term predicted data of the energy generation and consumption. A mode transition process is designed to smooth the mode variation by using a state transition diagram and bridging modes. To improve the microgrid operation performance, appropriate control techniques, such as synchronized bus-voltage balance, are used. A prototype of the proposed microgrid and the EMU are developed and experimentally tested for three different energy management scenarios. Energy distribution and energy cost analysis are performed for each scenario to validate the proposed control method.	en_US
dc.relation.ispartof	IEEE Transactions on Power Electronics	en_US
dc.relation.isbasedon	10.1109/TPEL.2018.2850852	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Development of a Fuzzy-Logic-Based Energy Management System for a Multiport Multioperation Mode Residential Smart Microgrid	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	34	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/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	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	34	en_US

Abstract:

© 2018 IEEE. In this paper, a grid-tied residential smart microgrid topology is proposed, which integrates energies of a photo-voltaic (PV), a fuel cell, and a battery bank to supply the local loads through a combination of electric and magnetic buses. In contrast to multiple-converter-based microgrids with a common electric bus, using a multiport converter with a common magnetic bus can effectively reduce the number of voltage conversion stages, size, and cost of the renewable energy system and isolates the conversion ports. The resultant topology utilizes a centralized system level control that leads to a faster and more flexible energy management. The proposed microgrid is able to operate in multiple grid-connected and off-grid operation modes. A fuzzy controlled energy management unit (EMU) is designed to select the appropriate operation mode considering both real-time and long-term predicted data of the energy generation and consumption. A mode transition process is designed to smooth the mode variation by using a state transition diagram and bridging modes. To improve the microgrid operation performance, appropriate control techniques, such as synchronized bus-voltage balance, are used. A prototype of the proposed microgrid and the EMU are developed and experimentally tested for three different energy management scenarios. Energy distribution and energy cost analysis are performed for each scenario to validate the proposed control method.

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http://hdl.handle.net/10453/132861