Design of fast and efficient maximum power point tracking method for photovoltaic systems under partial shading conditions Seyedmahmoudian, Mohammadmehdi 2016, Design of fast and efficient maximum power point tracking method for photovoltaic systems under partial shading conditions, PhD thesis, School of Engineering. Attached Files Name Description MIMEType Size Downloads Title Design of fast and efficient maximum power point tracking method for photovoltaic systems under partial shading conditions Author Seyedmahmoudian, Mohammadmehdi School School of Engineering Faculty Faculty of Science, Engineering and Built Environment Degree type Research doctorate Degree name PhD Thesis advisor Horan, Ben orcid.org/0000-0002-6723-259X Stojcevski, Alex Oo, Aman Than orcid.org/0000-0002-6914-2272 Date submitted 2016-12 Keyword(s) photovoltaic systems radial movement optimisation (RMO) Summary In my thesis I designed and developed a controller, based on artificial intelligence approach, to increase the efficiency of residential photovoltaic systems under partial shading conditions. The main advantages of the developed technique are its low cost, improved processing speed and a significant reduction in output fluctuations during the tracking period. Language eng Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) 090603 Industrial Electronics Socio Economic Objective 850504 Solar-Photovoltaic Energy Description of original xx, 246 pages : illustrations, tables, graphs, some coloured Restricted until 2019-08-01 Persistent URL http://hdl.handle.net/10536/DRO/DU:30102714 Document type: Thesis Collection: Higher degree theses (citation only)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 22 Sep 2017, 10:36:58 EST Thu, 28 Sep 2017, 11:37:32 EST Fri, 20 Oct 2017, 12:38:05 EST Fri, 20 Oct 2017, 12:46:49 EST Fri, 20 Oct 2017, 12:48:12 EST Fri, 20 Oct 2017, 12:48:57 EST Tue, 05 Dec 2017, 10:42:26 EST Tue, 19 Dec 2017, 11:41:13 EST Fri, 17 Aug 2018, 10:37:42 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 170 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Fri, 22 Sep 2017, 10:36:41 EST by Asif, Yasmin

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