SEPIC Converter for Maximum Power Tracking of Photovoltaic Systems by using fuzzy Logic

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-43 Number-2
Year of Publication : 2017
Authors : Shailesh S Gujar, Vinay H Keswani
DOI :  10.14445/22315381/IJETT-V43P216

Citation 

Shailesh S Gujar, Vinay H Keswani "SEPIC Converter for Maximum Power Tracking of Photovoltaic Systems by using fuzzy Logic", International Journal of Engineering Trends and Technology (IJETT), V43(2),97-101 January 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In this paper, a modified P&O technique that uses fuzzy logic to control the amount of perturbation depending on operating point of PV solar cell is proposed. Fuzzy logic is used to achieve smooth adaptations in duty cycles as well as to control the rate of adaptation. Proposed method helps reducing steady state oscillations and increasing convergence speed. SEPIC (Single Ended Primary Inductor Converter) is employed to realize appropriate output from proposed MPPT control. The limitation of SEPIC to track dynamic variations is overcome by fast operation of control algorithm. The system is simulated and tested in MATLAB/Simulink.

 References

[1] A. K. Abdelsalam, A. M. Massoud, S. Ahmed, and P. N. Enjeti, “High performance adaptive perturb and observe mppt technique for photovoltaic-based microgrids,” IEEE Transactions on Power Electron- ics, vol. 26, no. 4, pp. 1010–1021, 2011.
[2] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE transactions on power electronics, vol. 20, no. 4, pp. 963–973, 2005.
[3] N. Femia, D. Granozio, G. Petrone, G. Spagnuolo, and M. Vitelli, “Predictive & adaptive mppt perturb and observe method,” IEEE Trans- actions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 934– 950, 2007.
[4] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Perturb and observe mppt technique robustness improved,” in Industrial Electronics, 2004 IEEE International Symposium on, vol. 2, 2004, pp. 845–850.
[5] Y. Yang and F. P. Zhao, “Adaptive perturb and observe mppt tech- nique for grid-connected photovoltaic inverters,” Procedia Engineering, vol. 23, pp. 468–473, 2011.
[6] D. Sera, L. Mathe, T. Kerekes, S. V. Spataru, and R. Teodorescu, “On the perturb-and-observe and incremental conductance mppt methods for pv systems,” IEEE journal of photovoltaics, vol. 3, no. 3, pp. 1070–1078, 2013.
[7] A. Safari and S. Mekhilef, “Simulation and hardware implementation of incremental conductance mppt with direct control method using cukconverter,” IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1154–1161,2011.
[8] K. S. Tey and S. Mekhilef, “Modified incremental conductance mppt algorithm to mitigate inaccurate responses under fast-changing solar irradiation level,” Solar Energy, vol. 101, pp. 333–342, 2014.
[9] Q. Mei, M. Shan, L. Liu, and J. M. Guerrero, “A novel improved variablestep-size incremental-resistance mppt method for pv systems,” IEEETransactions on Industrial Electronics, vol. 58, no. 6, pp. 2427–2434,2011.
[10] A. Askarzadeh, “Optimisation of solar and wind energy systems: a survey,” International Journal of Ambient Energy, pp. 1–10, 2016.
[11] A. Oshaba, E. Ali, and S. AbdElazim, “Pi controller design using artificial bee colony algorithm for mppt of photovoltaic system supplied dc motor-pump load,” Complexity, 2015.
[12] A. Oshaba, E. Ali, and S. A. Elazim, “Mppt control design of pv system supplied srm using bat search algorithm,” Sustainable Energy, Grids and Networks, vol. 2, pp. 51–60, 2015.
[13] T. Manmadharao, P. Balamurali, and C. Ravikumar, “Maximum power point tracking of a pv system by bacteria foraging oriented particle swarm optimization.”
[14] S.E.DeLeo´n-Aldaco, H. CallejaandJ.A.Alquicira, “Metaheuristicoptimization methods applied to power converters: A review,” IEEE Transactions on Power Electronics, vol. 30, no. 12, pp. 6791–6803, 2015.
[15] K. Ishaque, Z. Salam, M. Amjad, and S. Mekhilef, “An improved particle swarm optimization (pso)–based mppt for pv with reduced steady-state oscillation,” IEEE transactions on Power Electronics, vol. 27, no. 8, pp. 3627–3638, 2012.
[16] A. A. Kulaks?z and R. Akkaya, “A genetic algorithm optimized ann- based mppt algorithm for a stand-alone pv system with induction motor drive,” Solar Energy, vol. 86, no. 9, pp. 2366–2375, 2012.
[17] A. El Khateb, N. A. Rahim, J. Selvaraj, and M. N. Uddin, “Fuzzy-logic- controller-based sepic converter for maximum power point tracking,” IEEE Transactions on Industry Applications, vol. 50, no. 4, pp. 2349– 2358, 2014.
[18] A. Al Nabulsi and R. Dhaouadi, “Efficiency optimization of a dsp-based standalone pv system using fuzzy logic and dual-mppt control,” IEEE Transactions on Industrial Informatics, vol. 8, no. 3, pp. 573–584, 2012.
[19] B. N. Alajmi, K. H. Ahmed, S. J. Finney, and B. W. Williams, “Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system,” IEEE Transactions on Power Electronics, vol. 26, no. 4, pp. 1022–1030, 2011.
[20] H. Bounechba, A. Bouzid, K. Nabti, and H. Benalla, “Comparison of perturb & observe and fuzzy logic in maximum power point tracker for PV systems,” Energy Procedia, vol. 50, pp. 677–684, 2014.
[21] S. Chiang, H.-J. Shieh, and M.-C. Chen, “Modeling and control of PV charger system with sepic converter,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4344–4353, 2009.
[22] M. Veerachary, “Power tracking for nonlinear pv sources with coupled inductor sepic converter,” IEEE transactions on aerospace and electronic systems, vol. 41, no. 3, pp. 1019–1029, 2005.
[23] E. Mamarelis, G. Petrone, and G. Spagnuolo, “Design of a sliding- mode-controlled sepic for pvmppt applications,” IEEE Transactions on Industrial Electronics, vol. 61, no. 7, pp. 3387–3398, 2014.
[24] F. Ding, P. Li, B. Huang, F. Gao, C. Ding, and C. system,inCICED2010Proceedings. IEEE,2010,pp.1–10.
[25] Wang, “Modeling and simulation of grid-connected hybrid photovoltaic/battery distributed generation.

Keywords
Maximum Power Point Tracking, Photovoltaic Systems, Fuzzy Logic, SEPIC Converter.