Improved Fractional Order VSS Inc-Cond MPPT Algorithm for Photovoltaic Scheme

International Journal of Photoenergy - Tập 2014 - Trang 1-10 - 2014
R. Arulmurugan1,2, N. Suthanthira Vanitha2
1Department of Electrical and Electronics Engineering, Anna University Regional Zone, Coimbatore, India
2Department of Electrical and Electronics Engineering, Knowledge Institute of Technology, KIOT Campus, NH-47 Salem to Coimbatore Road, Kakapalayam, Salem 637 504, India

Tóm tắt

Nowadays a hot topic among the research community is the harnessing energy from the free sunlight which is abundant and pollution-free. The availability of cheap solar photovoltaic (PV) modules has to harvest solar energy with better efficiency. The nature of solar modules is nonlinear and therefore the proper impedance matching is essential. The proper impedance matching ensures the extraction of the maximum power from solar PV module. Maximum power point tracking (MPPT) algorithm is acting as a significant part in solar power generating system because it varies in the output power from a PV generating set for various climatic conditions. This paper suggested a new improved work for MPPT of PV energy system by using the optimized novel improved fractional order variable step size (FOVSS) incremental conductance (Inc-Cond) algorithm. The new proposed controller combines the merits of both improved fractional order (FO) and variable step size (VSS) Inc-Cond which is well suitable for design control and execution. The suggested controller results in attaining the desired transient reaction under changing operating points. MATLAB simulation effort shows MPPT controller and a DC to DC Luo converter feeding a battery load is achieved. The laboratory experimental results demonstrate that the new proposed MPPT controller in the photovoltaic generating system is valid.

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Tài liệu tham khảo

10.1016/j.apenergy.2011.06.024

2012, IEEE Transactions on Industrial Informatics, 8, 573, 10.1109/TII.2012.2192282

10.1016/j.enbuild.2012.04.012

10.1016/j.renene.2004.11.018

10.1016/j.renene.2007.08.015

Electrical Power and Energy Systems, 53, 237, 10.1016/j.ijepes.2013.04.017

2013, Journal of Renewable and Sustainable Energy, 5, 023106, 10.1063/1.4794749

10.1016/j.epsr.2010.07.018

10.1016/j.egypro.2013.07.025

2013, Applied Soft Computing, 13, 4320, 10.1016/j.asoc.2013.06.021

2013, Renewable Energy, 60, 202, 10.1016/j.renene.2013.04.014

2013, Energy Procedia, 36, 189, 10.1016/j.egypro.2013.07.022

10.1109/TIE.2010.2048834

10.1109/TIE.2008.920550

10.1109/TIE.2010.2064275

2013, Renewable and Sustainable Energy Reviews, 17, 216, 10.1016/j.rser.2012.09.023

2013, Renewable Energy, 56, 32, 10.1016/j.renene.2012.12.037

10.1109/TEC.2006.874230

10.1109/TPEL.2012.2185713

10.1002/pip.459

2013, Journal of Wind Engineering and Industrial Aerodynamics, 123, 163, 10.1016/j.jweia.2013.10.004