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dc.contributor.authorJanfeshan, K.
dc.contributor.authorMasoum, Mohammad Sherkat
dc.contributor.authorDeilami, Sara
dc.contributor.editorJianwei Zhao (China)
dc.date.accessioned2017-01-30T12:42:01Z
dc.date.available2017-01-30T12:42:01Z
dc.date.created2015-05-22T08:32:20Z
dc.date.issued2014
dc.identifier.citationJanfeshan, K. and Masoum, M.S. and Deilami, S. 2014. V2G application to frequency regulation in a microgrid using decentralized fuzzy controller, in International Conference on Modelling, Identification and Control (ICMIC 2014), Dec 3 2014. Melbourne, Australia: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24277
dc.identifier.doi10.1109/ICMIC.2014.7020781
dc.description.abstract

Frequency regulation is one of the main issues in power grids. Any load-generation imbalance that occurs in a power network, causes the frequency to deviate from its nominal value. During such transient conditions it is important to use a method to decrease frequency fluctuations and recover the power quality to network normal condition as quickly as possible. There are several solutions for frequency regulation. One of them is to use energy storage system (ESS) capacity to compensate the power shortage and load disturbances. Electric vehicles (EVs) can be seen as a mobile and controllable storage unit and the battery capacity can be used as a backup for power networks. The reverse flow of energy from vehicle to grid (V2G) can participate in frequency regulation. This paper presents a distributed fuzzy logic control (FLC) design for V2G application in frequency regulation. With FLC the power flow from the EVs to the grid is adjusted based on regulation demand and state of charge (SOC) of the vehicle battery.

dc.publisherIEEE
dc.subjectmicrogrid
dc.subjectGeneralized Load Frequency Control
dc.subjectfrequency regulation
dc.subjectSOC
dc.subjectfuzzy logic control
dc.subjectPower quality
dc.subjectV2G
dc.titleV2G application to frequency regulation in a microgrid using decentralized fuzzy controller
dc.typeConference Paper
dcterms.source.startPage361
dcterms.source.endPage364
dcterms.source.title2014 Proceedings of the 6th International Conference on Modelling, Identification & Control (ICMIC), IEEE Conference Publications
dcterms.source.series2014 Proceedings of the 6th International Conference on Modelling, Identification & Control (ICMIC), IEEE Conference Publications
dcterms.source.isbn978-0-9567157-4-6
dcterms.source.conference2014 International Conference on Modelling, Identification and Control (ICMIC 2014)
dcterms.source.conference-start-dateDec 3 2014
dcterms.source.conferencelocationMelbourne, Australia
dcterms.source.placeUSA
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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