Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method Seyedmahmoudian, Mehdi, Rahmani, Rasoul, Mekhilef, Saad, Maung Than Oo, Amanullah, Stojcevski, Alex, Soon, Tey Kok and Ghandhari, Alireza Safdari 2015, Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method, IEEE transactions on sustainable energy, vol. 6, no. 3, pp. 850-862, doi: 10.1109/TSTE.2015.2413359. Attached Files Name Description MIMEType Size Downloads Title Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method Author(s) Seyedmahmoudian, Mehdi Rahmani, Rasoul Mekhilef, Saad Maung Than Oo, Amanullah orcid.org/0000-0002-6914-2272 Stojcevski, Alex Soon, Tey Kok Ghandhari, Alireza Safdari Journal name IEEE transactions on sustainable energy Volume number 6 Issue number 3 Start page 850 End page 862 Total pages 13 Publisher IEEE Place of publication Champaign, Ill Publication date 2015-07-01 ISSN 1949-3037 1949-3029 Summary In photovoltaic (PV) power generation, partial shading is an unavoidable complication that significantly reduces the efficiency of the overall system. Under this condition, the PV system produces a multiple-peak function in its output power characteristic. Thus, a reliable technique is required to track the global maximum power point (GMPP) within an appropriate time. This study aims to employ a hybrid evolutionary algorithm called the DEPSO technique, a combination of the differential evolutionary (DE) algorithm and particle swarm optimization (PSO), to detect the maximum power point under partial shading conditions. The paper starts with a brief description about the behavior of PV systems under partial shading conditions. Then, the DEPSO technique along with its implementation in maximum power point tracking (MPPT) is explained in detail. Finally, Simulation and experimental results are presented to verify the performance of the proposed technique under different partial shading conditions. Results prove the advantages of the proposed method, such as its reliability, system-independence, and accuracy in tracking the GMPP under partial shading conditions. Language eng DOI 10.1109/TSTE.2015.2413359 Indigenous content off Field of Research 0906 Electrical And Electronic Engineering Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2015, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30076444 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 24 Aug 2015, 14:46:05 EST Tue, 25 Aug 2015, 05:13:28 EST Tue, 01 Dec 2015, 10:49:25 EST Wed, 02 Dec 2015, 05:07:57 EST Mon, 14 Dec 2015, 09:38:08 EST Wed, 16 Dec 2015, 07:35:17 EST Wed, 20 Jan 2016, 09:34:51 EST Mon, 04 Jul 2016, 14:24:42 EST Sun, 10 Nov 2019, 09:41:36 EST Wed, 18 Nov 2020, 14:26:46 EST Wed, 16 Dec 2020, 09:58:30 EST Filtered Full Citation counts:   Cited 130 times in TR Web of Science Cited 22 times in Scopus Search Google Scholar Access Statistics: 549 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 01 Dec 2015, 10:49:25 EST

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