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Energy Management System for Grid-Connected Nanogrid during COVID-19

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dc.citedby1
dc.contributor.authorJamal S.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorRahmat N.A.en_US
dc.contributor.authorTan N.M.L.en_US
dc.contributor.authorid57265080900en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid55647163881en_US
dc.contributor.authorid24537965000en_US
dc.date.accessioned2023-05-29T09:36:19Z
dc.date.available2023-05-29T09:36:19Z
dc.date.issued2022
dc.descriptionComputer aided software engineering; DC-DC converters; Electric batteries; Electric inverters; Electric power transmission networks; Energy management; Energy storage; Low pass filters; Battery banks; Energy storage system; Grid-connected; High frequency power; Nanogrids; Photovoltaic arrays; Photovoltaics; STATEFLOW; Storage systems; Supercapacitor energy storages; Energy management systemsen_US
dc.description.abstractAn effective energy management system (EMS) was designed based on the Stateflow (SF) approach for a grid-connected nanogrid (NG) composed of a photovoltaic (PV) array with a battery bank and supercapacitor (SC) energy storage system (ESS). The PV energy system, battery bank and SC (ESS), dual active bridge DC/DC converters, DC/AC inverters, control algorithms, and controllers were developed to test the operation of the NG. The average and high-frequency power components are separated using frequency division of the ESS power utilizing a low-pass filter; the average power is absorbed by the battery bank, while the high-frequency power is absorbed by the SC. The aim of this paper is to design an EMS to manage the energy of a grid-connected NG system considering the availability of the PV array, ESS, and demand requirements. Different scenarios of operation were tested to check the EMS behaviour during the day with a random demand profile, including: (1) a PV array with the grid supplying the load without an EMS; (2) a PV array, batteries, and the grid supplying the load with an EMS; (3) a PV array, batteries, an SC, and the grid supplying the load with an EMS; (4) a PV array, batteries, an SC, and the grid supplying the load with an EMS, with load profile reduction by 20% due to COVID-19. As per the simulation results, the proposed EMS enables the flow of power in the NG system and demonstrates the impact on the ESS by minimising carbon emissions via a reduction in grid consumption. Furthermore, the SF method is regarded as a helpful alternative to popular design approaches employing conventional software tools. � 2022 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7689
dc.identifier.doi10.3390/en15207689
dc.identifier.issue20
dc.identifier.scopus2-s2.0-85140774840
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85140774840&doi=10.3390%2fen15207689&partnerID=40&md5=129498235849eb45a77f691ae38dccc2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26720
dc.identifier.volume15
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleEnergy Management System for Grid-Connected Nanogrid during COVID-19en_US
dc.typeArticleen_US
dspace.entity.typePublication
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