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dc.contributor.authorChitti Babu, Baladhandautham
dc.contributor.authorGurjar, Suresh
dc.contributor.authorČermák, Tomáš
dc.date.accessioned2016-11-09T12:50:22Z
dc.date.available2016-11-09T12:50:22Z
dc.date.issued2016
dc.identifier.citationWorld Journal of Engineering. 2016, vol. 13, issue 3, p. 225-233.cs
dc.identifier.issn1708-5284
dc.identifier.urihttp://hdl.handle.net/10084/116362
dc.description.abstractPurpose This paper aims to present a detailed investigation on the parameter estimation of a photovoltaic (PV) module by using a simplified two-diode model. Design/methodology/approach The studied PV module in this paper resembles an ideal two-diode model, and to reduce the computational time, the proposed model has a photocurrent source and two ideal-diodes and neglects the series and shunt resistances. Hence, for calculating the unknown parameters, only four parameters are required from the datasheet. Moreover, the studied model is simple and uses an easy modeling approach which is free from complexities. Findings The performance of the PV module is analyzed under non-standard test conditions by considering partial shading at different shaded levels, and it is found that the model has less computational time and gives accurate results. Originality/value The usefulness of this PV model is demonstrated with the help of several illustrative figures, and the performance of the PV module is evaluated.cs
dc.language.isoencs
dc.publisherEmeraldcs
dc.relation.ispartofseriesWorld Journal of Engineeringcs
dc.relation.urihttp://dx.doi.org/10.1108/WJE-06-2016-030cs
dc.rights© Emerald Group Publishing Limited 2016cs
dc.subjectphoto voltaic modulecs
dc.subjectsimplified two-diode modelcs
dc.subjectmodeling simulationcs
dc.subjectpartial shadingcs
dc.subjectsolar irradiationcs
dc.subjectroot mean square deviationcs
dc.titleInvestigation on the accurate parameter estimation of photovoltaic (PV) module based on simplified two-diode modelcs
dc.typearticlecs
dc.identifier.doi10.1108/WJE-06-2016-030
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume13cs
dc.description.issue3cs
dc.description.lastpage233cs
dc.description.firstpage225cs
dc.identifier.wos000384941300006


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