Open Access Open Access  Restricted Access Subscription Access

Analysis of Fuzzy-Logic MPPT controller for Photovotlaic Application

Dr. R. Arulmurugan

Abstract


In this study nonlinearity of solar temparute and irradiation leads to variable of photovoltaic power output and reduces in efficiency. A technique based on simulation study is developed to increase the power output of the soalr panels using the combination of photovoltaic system with fuzzy logic control maximum power point tracking algorithm. The MPPT system increase the panel output power under various circumfreences. In this work, to enhance the power abstraction  in a controlled manner an intelligent algorithm named as P&O set of rules is introduced, which is commonly stated as maximum power point tracking approach. The exclusive approaches i.e unit power approach and feeder-flow approaches are being penetrated into the cross-breed system. In turn, determines the reference parameters effectively. The conversion of DC output is taken over by the DC-DC buck–boost converter and implemented through the MATLAB/ SIMULINK tool to enable accuracy and excellent tracking performance at various climatic conditions.  The above projected Flexi operated mode conditions go well in exacting the maximum power, greater efficiency by reducing the number of modes with improved stability and performance the system.

Full Text:

PDF

References


Hohm D, Ropp M. Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test. In: Proc. 28th IEEE Conf. Rec. Photovoltaic Spec.; 2000. p. 1699– 1702.

Irmak Erdal, GülerNaki. Application of a high efficient voltage regulation system with MPPT algorithm. Electr Power Energy Syst 2013;44:703–12.

Wasynczuk O. Dynamic behavior of a class of photovoltaic power systems. IEEE Trans Power ApplSyst 1983;102(9):3031–7.

Arulmurugan, R and Venkatesan, T, ‘Research and Experimental Implementation of a CV-FOINC Algorithm Using MPPT for PV Power System’, Journal of Electrical Engineering and Technology, vol.10, no.1, pp. 30-40, 2015 ISSN :1975-0102

W. Xiao, W. Dunford, and A. Capel, “A novel modeling method for photovoltaic cells,” in Proc. IEEE 35th Annu. Power Electronics Specialists Conf., Jun. 2004, vol. 3, pp. 1950–1956.

D. Sera, R. Teodorescu, and P. Rodriguez, “PV panel model based on datasheet values,” in Proc. IEEE Int. Symp. Industrial Electronics, Jun.4–7, 2007, pp. 2392–2396.

Arulmurugan, R and Dr.Venkatesan T 2015, ‘Performance calculation and probability lifecycle price investigation of standalone photovoltaic power supply for a residential applications’, Proceeding of Online International Conference on Green Engineering and Technologies at Karpagam College of Engineering, Coimbatore, India, pp.1-6 (Index in IEEE xplore)

C. Hua and C. Shen, “Comparative study of peak power tracking techniques for solar storage system,” in Proc. 13th Annu. Applied Power Electronics Conf. Expo., Feb. 1998, vol. 2, pp. 679–685.

Arulmurugan, R, “Comparative evaluation of new FLC controller based MPPT for a DC to DC buck-boost zeta converter” WSEAS Transactions on power systems, vol.11, pp.27-34, 2016, E-ISSN: 2224-350X

C. Hua and J. R. Lin, “DSP-based controller application in battery storage of photovoltaic system,” in Proc.22nd IEEE Int. Conf. Industrial Electronics, Control, and Instrumentation, Aug. 5–10, 1996, vol. 3, pp. 1750–1810.


Refbacks

  • There are currently no refbacks.