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Mohammad Hassan Moradi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55951861000
HIndex:
Faculty: Faculty of Engineering
Address:
Phone: 09188131713

Research

Title
Classification andcomparisonofmaximumpowerpointtrackingtechniques for photovoltaicsystem:Areview
Type
JournalPaper
Keywords
MPPT PV system Offline Online Hybrid methods
Year
2013
Journal Renewable and Sustainable Energy Reviews
DOI
Researchers ، Mohammad Hassan Moradi ، shahriar jamasb

Abstract

In recentyearstherehasbeenagrowingattentiontowardsuseofsolarenergy.Themainadvantagesof photovoltaic(PV)systemsemployedforharnessing solar energyarelackofgreenhousegasemission,low maintenancecosts,fewerlimitationswithregardtosite ofinstallationandabsenceofmechanicalnoise arisingfrommovingparts.However,PVsystemssufferfrom relativelylowconversionefficiency.Therefore, maximum powerpointtracking(MPPT)forthesolararray isessentialinaPVsystem.Thenonlinearbehavior of PVsystemsaswellasvariationsofthemaximumpowerpointwithsolarirradiancelevelandtemperature complicatesthetrackingofthemaximumpowerpoint. AvarietyofMPPTmethodshavebeenproposedand implemented.Thisreviewpaperintroducesaclassification schemeforMPPTmethodsbasedonthree categories:offline,onlineandhybridmethods.Thisclassification,whichcanprovideaconvenientreference for futureworkinPVpowergeneration,isbasedonthemannerinwhichthecontrolsignalisgeneratedand thePVpowersystembehaviorasitapproachessteadystateconditions.Someofthemethodsfromeachclass aresimulatedinMatlab/Simulinkenvironmentinordertocomparetheirperformance.Furthermore,different MPPT methodsarediscussedintermsofthedynamicresponse ofthePVsystemtovariationsintemperature and irradiance,attainableefficiency,andimplementationconsiderations.