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Techno-economic optimization of grid-connected photovoltaic (PV) and battery systems based on maximum demand reduction (MDRED) modelling in Malaysia

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dc.citedby12
dc.contributor.authorSubramani G.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorSanjeevikumar P.en_US
dc.contributor.authorHolm-Nielsen J.B.en_US
dc.contributor.authorBlaabjerg F.en_US
dc.contributor.authorZbigniew L.en_US
dc.contributor.authorKostyla P.en_US
dc.contributor.authorid57197834088en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid18134802000en_US
dc.contributor.authorid14421042300en_US
dc.contributor.authorid7004992352en_US
dc.contributor.authorid6602973655en_US
dc.contributor.authorid6505826399en_US
dc.date.accessioned2023-05-29T07:23:34Z
dc.date.available2023-05-29T07:23:34Z
dc.date.issued2019
dc.descriptionElectric energy storage; Energy conservation; Genetic algorithms; Battery energy storage systems; Electricity tariff; Grid-connected photovoltaic; Industrial consumers; Maximum demand; Net energy; Photovoltaic systems; Solar PVs; Electric batteriesen_US
dc.description.abstractUnder the present electricity tariff structure in Malaysia, electricity billing on a monthly basis for commercial and industrial consumers includes the net consumption charges together with maximum demand (MD) charges. The use of batteries in combination with photovoltaic (PV) systems is projected to become a viable solution for energy management, in terms of peak load shaving. Based on the latest studies, maximum demand (MD) reduction can be accomplished via a solar PV-battery system based on a few measures such as load pattern, techno-economic traits, and electricity scheme. Based on these measures, the Maximum Demand Reduction (MDRed) Model is developed as an optimization tool for the solar PV-battery system. This paper shows that energy savings on net consumption and maximum demand can be maximized via optimal sizing of the solar PV-battery system using the MATLAB genetic algorithm (GA) tool. GA optimization results revealed that the optimal sizing of solar PV-battery system gives monthly energy savings of up to 20% of net consumption via solar PV self-consumption, 3% of maximum demand (MD) via MD shaving and 2% of surplus power supplied to grid via net energy metering (NEM) in regards to Malaysian electricity tariff scheme and cost of the overall system. � 2019 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo3531
dc.identifier.doi10.3390/en12183531
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85072535091
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85072535091&doi=10.3390%2fen12183531&partnerID=40&md5=3eb98c5051f97dbff1a30e6ad3c0ca15
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24446
dc.identifier.volume12
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleTechno-economic optimization of grid-connected photovoltaic (PV) and battery systems based on maximum demand reduction (MDRED) modelling in Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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