Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9864
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dc.contributor.authorAlqarni, M-
dc.contributor.authorDarwish, MK-
dc.date.accessioned2015-01-21T11:00:19Z-
dc.date.available2014-10-22-
dc.date.available2015-01-21T11:00:19Z-
dc.date.issued2014-
dc.identifier.citationProceedings of the Universities Power Engineering Conference, 2014en_US
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6934685-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9864-
dc.description.abstractPhotovoltaic systems have grown rapidly in the last few decades. This growth has enhanced research about this technology, focusing on reducing cost and improving efficiency. Maximum power point tracking (MPPT), which increases the overall efficiency of a PV system, is a main part of a PV system. In this paper, some MPPT methods have been critically reviewed. Fractional open-circuit voltage has been investigated. The approach of a separate PV array to obtain the open circuit voltage (Voc) is adopted. The proposed idea in this paper is based on optimising the control pulses for the DC-DC converter. The generation of control pulses is based on sinusoidal modulated pulse width modulation (SPWM). The output from the DC-DC converter is then fed into a low frequency square wave voltage-fed inverter circuit. The output is a fine sinusoidal waveform, although the inverter operates at a low frequency. The block diagrams and the results are presented.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.subjectMPPTen_US
dc.subjectOpen circuiten_US
dc.subjectPV systemen_US
dc.titleA maximum power point tracking for a photovoltaic system based on optimum sinusoidal modulated control pulsesen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1109/UPEC.2014.6934685-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures/Smart Power Networks-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Electronic and Electrical Engineering
Dept of Electronic and Electrical Engineering Research Papers

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