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
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.
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.