Numerical Simulation and Design of Improved MPPT for Solar Photovoltaic System for Renewable Energy Applications
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Abstract
Two modified MPPTs are proposed in this study. The Perturb and Observe algorithm, as well as the Incremental Conductance method, have been modified. These algorithms were simulated in MATLAB/SIMULINK for both constant and variable step sizes, as well as at two distinct switching frequencies (1kHz and 10kHz). The updated algorithms are compared to the traditional PO and InC algorithms. The most efficient condition for a Maximum Power Point Tracker has been determined by analysing their simulated results in a variety of methods. With 96.26 percent tracking efficiency for non-uniform insolation at 1kHz switching frequency and 97.44 percent at 10kHz, the Modified INC algorithm has been proven to be an improved method.
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References
Raj A, Gupta M, Panda S. Design simulation and performance assessment of yield and loss forecasting for 100 KWp grid connected solar PV system. In2016 2nd International Conference on Next Generation Computing Technologies (NGCT) 2016 Oct 14 (pp. 528-533). IEEE.
Gupta M, Raj A, Shikha D, Suman D. Efficiency Improvement Technique for Silicon Based Solar Cell Using Surface Texturing Method. In2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE) 2018 Nov 22 (pp. 1-5). IEEE.
Malvi CS, Gupta A, Gaur MK, Crook R, Dixon-Hardy DW. Experimental investigation of heat removal factor in solar flat plate collector for various flow configurations. International Journal of Green Energy. 2017 Mar 16;14(4):442-8.
Zainuri MA, Radzi MA, Soh AC, Abd Rahim N. Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter. IET Renewable Power Generation. 2013 Aug 27;8(2):183-94.
Kollimalla SK, Mishra MK. Variable perturbation size adaptive P&O MPPT algorithm for sudden changes in irradiance. IEEE Transactions on Sustainable Energy. 2014 Feb 5;5(3):718-28.
Tey KS, Mekhilef S. Modified incremental conductance algorithm for photovoltaic system under partial shading conditions and load variation. IEEE Transactions on Industrial Electronics. 2014 Feb 6;61(10):5384-92.
Jiang Y, Qahouq JA, Haskew TA. Adaptive step size with adaptive-perturbation-frequency digital MPPT controller for a single-sensor photovoltaic solar system. IEEE transactions on power Electronics. 2012 Sep 28;28(7):3195-205.
Mohanty S, Subudhi B, Ray PK. A grey wolf-assisted perturb & observe MPPT algorithm for a PV system. IEEE Transactions on Energy Conversion. 2016 Dec 1;32(1):340-7.
Abdelsalam AK, Massoud AM, Ahmed S, Enjeti PN. High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids. IEEE Transactions on power electronics. 2011 Jan 17;26(4):1010-21.
Abdelsalam AK, Massoud AM, Ahmed S, Enjeti PN. High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids. IEEE Transactions on power electronics. 2011 Jan 17;26(4):1010-21.
Tey KS, Mekhilef S, Seyedmahmoudian M, Horan B, Oo AT, Stojcevski A. Improved differential evolution-based MPPT algorithm using SEPIC for PV systems under partial shading conditions and load variation. IEEE Transactions on Industrial Informatics. 2018 Jan 15;14(10):4322-33.
Rezk H, Eltamaly AM. A comprehensive comparison of different MPPT techniques for photovoltaic systems. Solar energy. 2015 Feb 1;112:1-1.
Panda S, Gupta M, Malvi CS. Modified MPPT Algorithms for step size and switching Frequency using MATLAB/SIMULINK.
Elobaid LM, Abdelsalam AK, Zakzouk EE. Artificial neural network-based photovoltaic maximum power point tracking techniques: a survey. IET Renewable Power Generation. 2015 Nov 1;9(8):1043-63.
Seyedmahmoudian M, Horan B, Soon TK, Rahmani R, Oo AM, Mekhilef S, Stojcevski A. State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems–A review. Renewable and Sustainable Energy Reviews. 2016 Oct 1;64:435-55.
Lal S, Babu Balam N, Jain HK. Performance evaluation, energy conservation potential, and parametric study of borehole heat exchanger for space cooling in building. Journal of Renewable and Sustainable Energy. 2014 Mar 24;6(2):023123.
Rezk H, Aly M, Al-Dhaifallah M, Shoyama M. Design and hardware implementation of new adaptive fuzzy logic-based MPPT control method for photovoltaic applications. IEEE Access. 2019 Aug 2;7:106427-38.
Ahmed J, Salam Z. An enhanced adaptive P&O MPPT for fast and efficient tracking under varying environmental conditions. IEEE Transactions on Sustainable Energy. 2018 Jan 11;9(3):1487-96.
Salman S, Xin AI, Zhouyang WU. Design of a P-&-O algorithm based MPPT charge controller for a stand-alone 200W PV system. Protection and Control of Modern Power Systems. 2018 Dec;3(1)