An Adaptive Control Algorithm for Maximum Power Point Tracking for Photovoltaic Energy Conversion Systems - A Comparative Study

Ayman Blorfan(1), Guy Sturtzer(2), Damien Flieller(3), Patrice Wira(4*), Jean Mercklé(5)

(1) INSA Strasbourg, France
(2) INSA Strasbourg,
(3) INSA Strasbourg,
(4) Université de Haute Alsace,
(5) Université de Haute Alsace,
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper presents intelligent methods for the purpose of Maximum Power Point Tracking (MPPT). One is based on a Fuzzy Logic Controller (FLC) and the second is based on an Artificial Neural Network (ANN); they are applied to a converter circuit. The fuzziness determines the size of the perturbed voltage when there are rapid changes of the solar irradiation. A control scheme is presented which allows better control of the converter current reference using voltage and current from the PV system as inputs to the MPPT perturb and observes method. A new approach is also proposed to carry out the model of the photovoltaic array and to predict the maximum power point with an artificial neural network. This approach does not require the detailed knowledge of the physical parameters of the solar cell material. The neural model is trained by using a random set of data collected from the real photovoltaic array. In this paper, the fuzzy controller and the neural controller are used to enhance the classical perturb and observe method. Experimental tests have been carried out to demonstrate that the intelligent techniques are fast, stable and more productive. They are efficient in converting and transferring the power from the PV to the load. 


Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Photovoltaic; MPPT; Perturb & Observe; Fuzzy Control; Neural Control; Power Optimization; Active Power Filter

Full Text:

PDF


References


Blorfan, A., Flieller, D., Wira, P., Sturtzer, G., Merckle, J., A new approach for modeling the photovoltaic cell using orcad comparing with the model done in Matlab, (2010) International Review on Modelling and Simulations (IREMOS), 3 (5), pp. 948-954.

A. M. Z. Alabedin, E. FEl-Saadany and M. M. A.Salama, "Maximum power point tracking for Photovoltaic systems using fuzzy logic and artificial neural networks," in IEEE Power and Energy Society General Meeting, 2011, pp. 1-9.

M. I. Hossain, S. A.Khan, M. Shafiullah and M. J.Hossain "Design and implementation of MPPT controlled grid connected photovoltaic system," in 2011 IEEE Symposium on Computers & Informatics (ISCI) pp. 284-289.

S. Lalouni and D. Rekioua, "Modeling and Simulation of a Photovoltaic System Using Fuzzy Logic Controller," in 2009 Second International Conference on Developments in Systems Engineering (DESE), 2009, pp. 23-28.

D. Wenjin and W. Yu, "Active Power Filter of Three-Phase Based on Neural Network," in Fourth International Conference on Natural Computation, ICNC '08, 2008, pp. 124-128.

D. Ould Abdeslam, P. Wira, J. Mercklé, D. Flieller and Y-A. Chapuis, "A Unified Artificial Neural Network Architecture for Active Power Filters," IEEE Transactions on Industrial Electronics, vol. 54, pp. 61-76, 2007.

N. Khaehintung, C. Kangsajian, P. Sirisuk and A. Kunakorn, "Grid-connected Photovoltaic System with Maximum Power Point Tracking using Self-Organizing Fuzzy Logic Controller," in International Conference on Power Electronics and Drives Systems, PEDS 2005, pp. 517-521.

D. Menniti, A. Pinnarelli and G. Brusco, "Implementation of a novel fuzzy-logic based MPPT for grid-connected photovoltaic generation system," in IEEE PowerTech 2011, pp. 1-7.

H. Akagi, A. Nabae and S. Atoh, "Control Strategy of Active Power Filters Using Multiple Voltage-Source PWM Converters," IEEE Transactions on Industry Applications, vol. IA-22, pp. 460-465, 1986.

A. Blorfan, J. Mercklé, D. Flieller, P. Wira and G. Sturtzer, "Sliding Mode Controller for Three-Phase Hybrid Active Power Filter with Photovoltaic Application," Smart Grid and Renewable Energy, 2012, pp. 17-26.

S. Rahmani, A. Hamadi, N. Mendalek and K. Al-Haddad, "A New Control Technique for Three-Phase Shunt Hybrid Power Filter," IEEE Transactions on Industrial Electronics, vol. 56, pp. 2904-2915, 2009.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize