Publication:
Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System

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dc.citedby6
dc.contributor.authorRekioua D.en_US
dc.contributor.authorRekioua T.en_US
dc.contributor.authorElsanabary A.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorid6506639323en_US
dc.contributor.authorid6506051950en_US
dc.contributor.authorid57221120034en_US
dc.contributor.authorid57928298500en_US
dc.date.accessioned2024-10-14T03:19:04Z
dc.date.available2024-10-14T03:19:04Z
dc.date.issued2023
dc.description.abstractThe study presents an optimal control approach for managing a hybrid Photovoltaic/Wind Turbine/Battery system in an isolated area. The system includes multiple energy sources connected to a DC bus through DC/DC converters for maximum power point tracking. The proposed hybrid MPPT approach (HMPPT) manages the energy production from different sources, while the power flow method is used to balance the load and renewable power. The study shows that integrating the HMPPT algorithm and power flow approach results in improved system performance, including increased power generation and reduced stress on the batteries. The study also proposes an accurate sizing method to further improve system efficiency. The study demonstrates the effectiveness of the proposed approach by presenting results for twelve different days with varying weather conditions. The results show that the proposed approach effectively manages the energy production and load, resulting in optimal system performance. This study provides valuable insights into the optimal control of hybrid renewable energy systems, and highlights the importance of considering different energy sources and optimal sizing for maximizing system efficiency. � 2023 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2286
dc.identifier.doi10.3390/en16052286
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85149758666
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85149758666&doi=10.3390%2fen16052286&partnerID=40&md5=6ecf4e4a3d361eab5f501619b62a0463
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34327
dc.identifier.volume16
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleEnergies
dc.subjectdesign
dc.subjecthybrid MPPT
dc.subjectoptimization
dc.subjectpanels
dc.subjectsolar battery storage
dc.subjectwind turbine
dc.subjectBattery storage
dc.subjectDC-DC converters
dc.subjectElectric load flow
dc.subjectMaximum power point trackers
dc.subjectPower control
dc.subjectPower management
dc.subjectRenewable energy resources
dc.subjectSecondary batteries
dc.subjectSolar panels
dc.subjectSolar power generation
dc.subjectThermoelectricity
dc.subjectBattery storage
dc.subjectBattery systems
dc.subjectEnergy productions
dc.subjectHybrid MPPT
dc.subjectOptimal controls
dc.subjectOptimisations
dc.subjectPanel
dc.subjectPower flows
dc.subjectSolar battery storage
dc.subjectSystem efficiency
dc.subjectWind turbines
dc.titlePower Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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