Publication:
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid

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dc.citedby0
dc.contributor.authorDahiru A.T.en_US
dc.contributor.authorTan C.W.en_US
dc.contributor.authorLau K.Y.en_US
dc.contributor.authorToh C.L.en_US
dc.contributor.authorAyop R.en_US
dc.contributor.authorIbrahim O.en_US
dc.contributor.authorid57211084199en_US
dc.contributor.authorid35216732200en_US
dc.contributor.authorid37665178700en_US
dc.contributor.authorid8690228000en_US
dc.contributor.authorid57193828123en_US
dc.contributor.authorid56888507100en_US
dc.date.accessioned2025-03-03T07:44:52Z
dc.date.available2025-03-03T07:44:52Z
dc.date.issued2024
dc.description.abstractRenewable energy resource dynamics significantly contribute to renewable energy system complexities in addition to reliability issues. Energy storage systems such as batteries are used for supply reliability in renewable energy system designs such as residential nanogrids. Factors considered in battery energy storage options in renewable energy systems include the low cost of acquisition, large-scale commercial deployment and high energy storage densities. Despite the competitive advantages of the battery systems, other energy storage facilities have advantages such as electric vehicles with significant time spent parking and hydrogen fuel cells with considerably long periods of retaining energy storage. This paper considered other technoeconomic advantages in defining a hybrid energy storage management for battery, electric vehicles and hydrogen fuel cells configured in a combined and substituted storage of a residential nanogrid. Constraints of uncertain renewable energy generation and customer demands were used for the nanogrid's optimal capacity with each of the storage configurations analyzed based on charging and discharging conditions. The objectives were to strategize energy tradeoffs between the nanogrid and the main grid for energy cost reduction and improved energy utilization. The results indicate the ranges of hourly-average available energy for tradeoffs in the main grid-interactive residential nanogrid such as 24-115 kW in a battery system, 1975 kW in an electric vehicle and 545 kW in hydrogen fuel cell from a substituted configuration and 110-250 kW from a combined storage configuration. The uncertain renewable energy generation and customer demands were utilized in suggesting a dynamic energy pricing for future study considerations. ?2024 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/PECON62060.2024.10827631
dc.identifier.epage115
dc.identifier.scopus2-s2.0-85217400470
dc.identifier.spage110
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85217400470&doi=10.1109%2fPECON62060.2024.10827631&partnerID=40&md5=c5fa9502ffa4b04576396a80dba54e0e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36813
dc.pagecount5
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2024 IEEE International Conference on Power and Energy, PECon 2024
dc.subjectBattery management systems
dc.subjectBattery storage
dc.subjectCost reduction
dc.subjectHydrogen storage
dc.subjectVehicle-to-grid
dc.subjectBattery systems
dc.subjectCustomer demands
dc.subjectEnergy
dc.subjectEnergy systems
dc.subjectEnergy tradeoff
dc.subjectHybrid energy storage
dc.subjectHydrogen fuel cells
dc.subjectNanogrids
dc.subjectRenewable energies
dc.subjectRenewable energy generation
dc.titleHybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogriden_US
dc.typeConference paperen_US
dspace.entity.typePublication
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