Publication:
Optimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutions

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dc.citedby0
dc.contributor.authorAbdolrasol M.G.M.en_US
dc.contributor.authorJern Ker P.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorAyob A.en_US
dc.contributor.authorAlmadani J.F.S.en_US
dc.contributor.authorid35796848700en_US
dc.contributor.authorid57220589801en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid26666566900en_US
dc.contributor.authorid58902945600en_US
dc.date.accessioned2024-10-14T03:19:44Z
dc.date.available2024-10-14T03:19:44Z
dc.date.issued2023
dc.description.abstractThis study explores the integration of photovoltaic (PV) systems with battery storage for sustainable energy solutions. Employing the Backtracking Search Algorithm (BSA), the research optimizes PI controller parameters to enhance system efficiency and reliability. Real-world energy demand and weather data are integrated for practical relevance. Rigorous simulations within MATLAB/Simulink establish a robust analytical framework, evaluating optimization algorithms and identifying optimal configurations. By analysing objectives and simulation outcomes, the study provides insights for system refinement. The research strategically applies advanced algorithms to elevate PV-battery system performance and compares outcomes with Particle Swarm Optimization (PSO) and other studies, offering a comprehensive benchmark for evaluation. � 2023 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ETFG55873.2023.10408655
dc.identifier.scopus2-s2.0-85185766773
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85185766773&doi=10.1109%2fETFG55873.2023.10408655&partnerID=40&md5=c173942367db3feaffb77f1f68526136
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34432
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
dc.subjectBacktracking Search Algorithm (BSA)
dc.subjectmodulation index control
dc.subjectoptimization algorithms
dc.subjectphotovoltaic-Battery System
dc.subjectSustainable Energy Solutions
dc.subjectBenchmarking
dc.subjectDigital storage
dc.subjectElectric batteries
dc.subjectEnergy conservation
dc.subjectLearning algorithms
dc.subjectParticle swarm optimization (PSO)
dc.subjectBacktracking search algorithm
dc.subjectBacktracking search algorithms
dc.subjectBattery storage
dc.subjectModulation index control
dc.subjectModulation indexes
dc.subjectOptimization algorithms
dc.subjectPhotovoltaic systems
dc.subjectPhotovoltaic/battery systems
dc.subjectPI controller parameters
dc.subjectSustainable energy solutions
dc.subjectMATLAB
dc.titleOptimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutionsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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