Adaptive Artificial intelligence based fuzzy logic MPPTcontrol for stande-alone photovoltaic system under different atmospheric conditions

Zaghba Layachi, Abdelhalim Borni, Abdelhak Bouchakour, Nadjiba Terki

Abstract


there is an increased need for analysing the effect of atmospheric variables on photovoltaic (PV) production and performance. The outputs from the different PV cells in different atmospheric conditions, such as irradiation and temperature , differ from each other evidencing knowledge deficiency in PV systems [14]. Maximum power point tracking (MPPT) methods are used to maximize the PV array output power by tracking continuously the maximum power point (MPP). Among all MPPT methods existing in the literature, perturb and observe (P&O) is the most commonly used for its simplicity and ease of implementation; however, it presents drawbacks such as slow response speed, oscillation around the MPP in steady state, and even tracking in wrong way under rapidly changing atmospheric conditions. In order to allow a functioning around the optimal point Mopt, we have inserted a DC-DC converter (Buck–Boost) for a better matching between the PV and the load. This paper, we study the Maximum power point tracking using adaptive Intelligent fuzzy logic and conventional (P&O) control for stande-alone photovoltaic Array system .In particular, the performances of the controllers are analyzed under variation weather conditions with are constant temperature and variable irradiation. The proposed system is simulated by using MATLAB-SIMULINK. According to the results, fuzzy logic controller has shown better performance during the optimization.


Keywords


Solar photovoltaic; MPPT; P&O; fuzzy logic Controller ;Pv array; DC/DC Buck-Boost converter

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References


Aurobinda Panda* ,M.K.Pathak, S.P.Srivastava, « Fuzzy Intelligent Controller for the Maximum Power Point Tracking of a Photovoltaic Module at Varying Atmospheric Conditions » , Journal of Energy Technologies and Policy, vol.1, no.2, pp.18-27, 2011.

Abd Kadir Mahammad, Sharifah Saon and Wong Swee Chee, «Development of Optimum Controller based on MPPT for Photovoltaïque System during Shading Condition, Procedia Engineering 53 ( 2013 ) 337 – 346 .

V. Salas, E. Olias, A. Làzaro, A. Barrado, “Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems,” Solar Energy Material Solar Cells, 2006, 90:1555–78.

T. Esram, P. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, 2007, 22:2.

H.E.A. Ibrahim, Comparison Between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter, Journal of Energy Technologies and Policy, Vol.2, No.6, 2012.

Ahmed M. Fares,Belal A. Abo Zalam Salwa G. El Nashar, Haitham Aka1, « Comparison Between Different Algorithms for Maximum PPT in Photovoltaic Systems and its Implementation on Microcontroller », Journal of Energy Technologies and Policy, Vol.3, No.5, 2013.

Abdullah M. Noman,Khaled E. Addoweesh, and Hussein M. Mashaly, « DSPACE Real-Time Implementation of MPPT-Based FLC Method », Hindawi Publishing Corporation International Journal of Photoenergy Volume 2013, Article ID 549273, 11 pages.

R. Rahmani, M. Fard, A. A. Shojaei, M. F. Othman, R. Yusof, « A Complete Model of Stand-alone Photovoltaïque Array in MATLAB-Simulink Environment, IEEE Student Conference on Research and Development 2011.

Swati Singh, Lini Mathew, Shimi S.L, « Design and Simulation of Intelligent Control MPPT Technique for PV Module Using MATLAB/ SIMSCAPE , International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering , Vol. 2, Issue 9, September 2013.

Rasoul Rahmani, Mohammadmehdi Seyedmahmoudian,Saad Mekhilef and 1Rubiyah Yusof , « implementation of fuzzy logic Maximum power point tracking Controller for photovoltaic system, American Journal of Applied Sciences, 10 (3): 209-218, 2013.

Messai, A., A. Mellit, A. Guessoum and S.A. Kalogirou, 2011. Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation. Solar Energy, 85: 265-277. DOI:10.1016/j.solener.2010.12.004

K.V.Hari Prasad, CH.Uma Maheswar Rao,” Design And Simulation Of A Fuzzy Logic Controller For Buck & Boost Converters”, International Journal of Advanced Technology & Engineering Research (IJATER), Volume 2, Issue 3, May 2012.

Aït Cheikh, C. Larbes, G.F. Tchoketch Kebir and A. Zerguerras. “Maximum power point tracking using a fuzzy logic control scheme”. Revue des Energies Renouvelables Vol. 10 N°3 (2007).

C. N. Jardine, G. J. Conibeer, and K. Lane. PVCOMPARE: Direct Comparison of Eleven PV Technologies at Two Locations in Northern and Southern Europe. In 17th European Conference on Photovoltaic Solar Energy Conversion, Munich, volume 17th Europ, 2001.




DOI: http://dx.doi.org/10.21622/resd.2015.01.1.011

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Copyright (c) 2015 zaghba layachi, Abdelhalim borni, abdelhak bouchakour, nadjiba terki

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Renewable Energy and Sustainable Development

E-ISSN: 2356-8569

P-ISSN: 2356-8518

 

Published by:

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Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt

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