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A novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart grid

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dc.citedby8
dc.contributor.authorZahurul S.en_US
dc.contributor.authorMariun N.en_US
dc.contributor.authorKah L.en_US
dc.contributor.authorHizam H.en_US
dc.contributor.authorOthman M.L.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorNorman Y.en_US
dc.contributor.authorid35746021600en_US
dc.contributor.authorid6603584419en_US
dc.contributor.authorid57189052157en_US
dc.contributor.authorid8559012500en_US
dc.contributor.authorid55153333400en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid57189060610en_US
dc.date.accessioned2023-05-29T06:12:51Z
dc.date.available2023-05-29T06:12:51Z
dc.date.issued2016
dc.descriptionData acquisition; Database systems; Digital storage; Electric power transmission networks; Photovoltaic cells; Windows operating system; Wireless networks; Wireless telecommunication systems; Zigbee; AC electrical parameters; Communication technologies; Microsoft Access database; Photovoltaic generation; Photovoltaic modules; Smart grid; Wireless data acquisitions; Zigbee wireless technologies; Smart power gridsen_US
dc.description.abstractDistributed photovoltaic (PV) power plant monitoring is one of the crucial aspects for energy forecasting and demand management in the future smart grid (SG) through establishing low-powered communication technology. In this paper, Zigbee wireless technology is considered for AC electrical parameters' monitoring of the distributed PV plant located at Universiti Putra Malaysia (UPM). For this consideration, relevant measurement circuits, Arduino UNO embedded board, and Zigbee radio are interfaced to create a wireless (WS)-node for installing in the PV inverter. In addition, a LabVIEW program is implemented and linked to Microsoft Access Database (MS Access DB) at the control center server system for the Zigbee-based wireless data acquisition, storage, and monitoring. The obtained data from the developed system are also validated with the actual PV generation. The results are found comparable and it also reveals that low-powered Zigbee is ideal for monitoring the distributed PV generation where the data delivery requirement is not urgent. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7387097
dc.identifier.doi10.1109/ISGT-Asia.2015.7387097
dc.identifier.scopus2-s2.0-84964956137
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84964956137&doi=10.1109%2fISGT-Asia.2015.7387097&partnerID=40&md5=aeadc92afc54942a4aaa393b4f67221d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22864
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleProceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
dc.titleA novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart griden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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