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Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions

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dc.citedby24
dc.contributor.authorReza M.S.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorLipu M.S.H.en_US
dc.contributor.authorHossain M.J.en_US
dc.contributor.authorMahlia T.M.I.en_US
dc.contributor.authorid59055914200en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid58562396100en_US
dc.contributor.authorid57209871691en_US
dc.contributor.authorid56997615100en_US
dc.date.accessioned2024-10-14T03:18:01Z
dc.date.available2024-10-14T03:18:01Z
dc.date.issued2023
dc.description.abstractThe continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption, which leads to increased CO2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Photovoltaic (PV) and wind power (WP) and battery energy storage systems (BESS), among others, due to an increase in the use of fossil fuels and their shortage. Since the power generation of these resources is uncertain due to climatic fluctuations and the direct integration of these resources into the power grid is very complex due to the issues such asen_US
dc.description.abstractvoltage and frequency regulation, overloading of active transmission lines, and supply-demand disparity, the research on system uncertainties is receiving increasing attention. This study provides a comprehensive analysis of the several parameters of uncertainty, approaches for dealing with the uncertainty in battery energy storage (BES)-based RES integrated grid, and the advantages and disadvantages of each method. Moreover, various analytical and numerical approaches were developed for integrating RES and BESS into the power grid, including probabilistic methods, possibilistic methods, robust optimization-based techniques, and machine learning algorithms. The comparative analysis of these approaches highlights their relative strengths and weaknesses, providing a valuable resource for researchers and utility planners. Additionally, this review paper identifies several issues and challenges associated with the integration of RES and BESS into the power grid, such as power quality, economical effect, battery aging effect, and environmental effect. Furthermore, the paper suggests a few future research directions, including the development of novel models for analyzing uncertainty in power systems, coordination of uncertainty parameters, integration of BESS into RES and grid, power electronics integration, and environmental factor. Overall, this article's novel contributions include a comprehensive analysis of uncertainty parameters, a comparative analysis of uncertainty modeling approaches, an identification of critical issues and challenges, and the suggestion of future research directions to promote a sustainable and reliable power system. This article will aid in defining the requirements and specifications for novel models for analyzing uncertainty in power systems. The discussion and analysis will assist researchers and utility planners in selecting a suitable uncertainty modeling approach with significant penetrations of distributed RESs, which can lead to achieving a reliable and sustainable power system. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo107698
dc.identifier.doi10.1016/j.est.2023.107698
dc.identifier.scopus2-s2.0-85159570359
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85159570359&doi=10.1016%2fj.est.2023.107698&partnerID=40&md5=0a7708273e73faeaeeef50545256191f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34116
dc.identifier.volume68
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Energy Storage
dc.subjectBattery energy storage system
dc.subjectIntegrated grid
dc.subjectPhotovoltaic
dc.subjectRenewable energy resources
dc.subjectUncertainty modeling approach
dc.subjectWind power
dc.subjectBattery storage
dc.subjectElectric batteries
dc.subjectElectric power transmission
dc.subjectElectric power transmission networks
dc.subjectEnergy utilization
dc.subjectFossil fuels
dc.subjectLearning algorithms
dc.subjectMachine learning
dc.subjectNumerical methods
dc.subjectOptimization
dc.subjectPopulation statistics
dc.subjectPower quality
dc.subjectSustainable development
dc.subjectUncertainty analysis
dc.subjectBattery energy storage systems
dc.subjectFuture research directions
dc.subjectIntegrated grid
dc.subjectModeling approach
dc.subjectPhotovoltaics
dc.subjectPower grids
dc.subjectUncertainty
dc.subjectUncertainty modeling approach
dc.subjectUncertainty models
dc.subjectUncertainty parameters
dc.subjectWind power
dc.titleUncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directionsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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