Power quality analysis and automatic intelligent control strategy for solar PV microgrid Vinayagam, Arangarajan 2017, Power quality analysis and automatic intelligent control strategy for solar PV microgrid, PhD thesis, School of Engineering, Deakin University. Attached Files Name Description MIMEType Size Downloads vinayagam-powerquality-2017.pdf Connect to thesis application/pdf 6.72MB 578 Title Power quality analysis and automatic intelligent control strategy for solar PV microgrid Author Vinayagam, Arangarajan orcid.org/0000-0003-2247-1893 Institution Deakin University School School of Engineering Faculty Faculty of Science, Engineering and Built Environment Degree type Research doctorate Degree name PhD Thesis advisor Stojcevski, Alex Khoo, Sui Yang Oo, Aman Than orcid.org/0000-0002-6914-2272 Date submitted 2017-08 Keyword(s) microgrid power systems solar energy energy storage Summary My thesis focuses on quantification of the power quality issues in a solar photovoltaic based microgrid network through the simulation and experimental approach. PSO based optimization control strategy was also implemented to further improve the power quality factors in the Microgrid network Language eng Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) Socio Economic Objective 850599 Renewable Energy not elsewhere classified Description of original xxv, 197 pages : illustrations, tables, graphs, some coloured Copyright notice ©The Author Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30103476 Document type: Thesis Collections: Higher degree theses (Open Access) Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 18 Oct 2017, 11:03:53 EST Fri, 27 Oct 2017, 11:45:48 EST Thu, 16 Nov 2017, 15:01:10 EST Thu, 16 Nov 2017, 15:02:06 EST Fri, 17 Nov 2017, 08:02:24 EST Fri, 17 Nov 2017, 08:04:59 EST Fri, 17 Nov 2017, 08:06:13 EST Thu, 02 Aug 2018, 14:41:42 EST Fri, 07 Sep 2018, 18:57:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 346 Abstract Views, 583 File Downloads  -  Detailed Statistics Created: Wed, 18 Oct 2017, 11:03:41 EST by Asif, Yasmin