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.

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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
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
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
Collection: School of Engineering
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