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Optimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Model

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dc.citedby6
dc.contributor.authorHan B.en_US
dc.contributor.authorZahraoui Y.en_US
dc.contributor.authorMubin M.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorSeyedmahmoudian M.en_US
dc.contributor.authorStojcevski A.en_US
dc.contributor.authorid58128219400en_US
dc.contributor.authorid57223913703en_US
dc.contributor.authorid25930079700en_US
dc.contributor.authorid57928298500en_US
dc.contributor.authorid55575761400en_US
dc.contributor.authorid55884935900en_US
dc.date.accessioned2024-10-14T03:19:08Z
dc.date.available2024-10-14T03:19:08Z
dc.date.issued2023
dc.description.abstractWith the deployment of renewable energy generation, home energy storage systems (HESSs), and plug-in electric vehicles (PEVs), home energy management systems (HEMSs) are critical for end users to improve the increasingly complicated energy production and consumption in the home. However, few of the previous works study the impact of different models of battery degradation cost in the optimization strategy of a comfort-based HEMS framework. In this paper, a novel scheduling algorithm based on a mixed-integer programming (MIP) model is proposed for the HEMS. Total cost minimization, peak load shifting, and residents� thermal comfort satisfaction are combined and considered in the optimal scheduling algorithm. The impact of battery degradation costs on the charging and discharging strategy of HESS and PEV is also compared and discussed in this case study. This case study shows that the proposed optimal algorithm of HEMS not only flattens the peak load and satisfies the thermal comfort of residents but also has better flexibility and economic advantages, reducing the electricity cost by 30.84% and total cost by 24.16%. The sensitivity analysis of the parameters for the charging and discharging strategy also guarantees the lowest cost and prolongs the service life of the battery. � 2023 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1333
dc.identifier.doi10.3390/math11061333
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85151389142
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85151389142&doi=10.3390%2fmath11061333&partnerID=40&md5=40a8e013760f893f383cf1354f4b6079
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34336
dc.identifier.volume11
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleMathematics
dc.subjectdegradation cost
dc.subjecthome energy management system
dc.subjectoptimization algorithm
dc.subjectpeak load shifting
dc.subjectthermal comfort
dc.titleOptimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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