Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13367
DC FieldValueLanguage
dc.contributor.authorArgyrou, Maria C.-
dc.contributor.authorChristodoulides, Paul-
dc.contributor.authorKalogirou, Soteris A.-
dc.date.accessioned2019-02-22T12:21:06Z-
dc.date.available2019-02-22T12:21:06Z-
dc.date.issued2018-06-
dc.identifier.citation5th IEEE International Energy Conference, 2018, 3-7 June, Limassol, Cyprusen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/13367-
dc.description.abstractSolar photovoltaic energy is one of the most growing technologies in the world with a growth rate of 35-40% per year. In this paper, a step-by-step modeling of a PV system is presented. Additionally, a Maximum Power Point Tracking (MPPT) algorithm finds the maximum power for the operation of the PV system during variations of solar irradiance and ambient temperature. Different MPPT techniques are simulated, namely the Perturbation and Observation (P&O) method, the incremental conductance and a fuzzy logic control, which can improve the efficiency of the PV system generation dramatically. The proposed model is implemented in MATLAB/Simulink. The simulation results have shown that P&O and incremental conductance methods may fail under rapidly changing climatic conditions and present oscillations around the MPP during the steady state period. On the other hand, fuzzy logic control can track the system to the MPP very fast and accurately, even during rapid variations of atmospheric conditions.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 2018 IEEE.en_US
dc.subjectFuzzy logicen_US
dc.subjectIncremental conductanceen_US
dc.subjectMaximum power point trackingen_US
dc.subjectModelingen_US
dc.subjectMPPTen_US
dc.subjectPerturbation and Observationen_US
dc.subjectPhotovoltaicen_US
dc.subjectSimulinken_US
dc.titleModeling of a photovoltaic system with different MPPT techniques using MATLAB/Simulinken_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conference5th IEEE International Energy Conferenceen_US
dc.identifier.doi10.1109/ENERGYCON.2018.8398734en_US
cut.common.academicyear2017-2018en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9296-4453-
crisitem.author.orcid0000-0002-2229-8798-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
CORE Recommender
Show simple item record

SCOPUSTM   
Citations 1

19
checked on Nov 6, 2023

Page view(s) 50

372
Last Week
3
Last month
10
checked on May 11, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.