i-manager Publications

An Optimal Approach In Maximum Power Point Tracking For PV Applications Using A Fuzzy Controller

J. Devishree*, P. Anbalagan**

*Department of EEE, ColmbatorelnstltuteofTechnology, Coimbatore.

**DepartmentofEEE, Coimbatore Institute of Technology, Coimbatore.

Periodicity:July - September'2007
DOI : https://doi.org/10.26634/jee.1.1.466

Abstract

This paper presents a Fuzzy based Maximum Power Point Tracker for Photovoltaic Applications. The proposed system contains an accurate PV module, PWM block, Fuzzy controller block and a power conditioner block. Fuzzy input parameters are Temperature in °C, Irradiation Level and Wind velocity are used to generate the optimal MPPT converter duty cycle, such that solar panel maximum power is generated under different operating conditions. The converter taken for our study is BUCK converters. For the operation planning of power systems, the prediction of power tracking is inevitable for photovoltaic systems. The simulation of the proposed system is done using the MATLAB/SIMULINK. This method gives highly accurate prediction compared with the conventional methods.

Keywords

PV module, duty cycle, irradiation, fuzzy controller, power conditioner.

How to Cite this Article?

J. Devishree and P. Anbalagan (2007). An Optimal Approach In Maximum Power Point Tracking For PV Applications Using A Fuzzy Controller. i-manager’s Journal on Electrical Engineering, 1(1), 1-4. https://doi.org/10.26634/jee.1.1.466

References

[1]. M.A.S Masoum, Dept of Electrical Engg, Tehran, "Design, simulation and Construction of a new fuzzy based maximum power point tracker for photovoltaic applications", IEEE Trans. On Energy Conservation", vol.6, pp. 254-259, Sept, 2000.

[2]. Journal of Solar Energy Society of India, Vol 12 number 1, June 2002.

[3].Journal of Solar Energy Society of India, Vol 6 number 2, Dec 1996.

[4].C. Hua, J. Lin, C. Shen, "Implementation of a DSPControlled Photovoltaic System with Peak Power Tracking",JEEE Trans, on Industrial Elec., Vol.45, No.l, Feb. 1998.

[5]. M.G. Simoes, N.N. Franceschetti, "Fuzzy Optimization Based Control of a Solar Array", IEE Proc. Electr. Power Appl., Vol. 146, No.5, pp.552-558, September 1999.

[6].T.Takagi, M.Sugeno, "Fuzzy identification on systems and its applications to modeling and control" IEEE Trans. Syst., Man,Cybern.,vol.SMC-15, pp. 116132, Jan. 1985.

[7].Yonmook Park, Min-Jea Tahk, Hyochoong Bang, "Design and Analysis of Optimal Controller for Fuzzy Systems With Input Constraint", IEEE Trans. Fuzzy Systems, vol. 12, no. 6, December 2004.

[8].Francisco R.Rubio, Manuel Berenguel, Eduardo F.Camacho, "Fuzzy Logic Control of a Solar Power Plant", IEEE Trans. Fuzzy Systems, Vol.3, No.4, November 1995, pp. 671-677.

[9].Tang-Kai Yin, "A Characteristic-Point-Based Fuzzy Inference System Aimed to Minimize the Number of Fuzzy Rules", IEEE Trans. Fuzzy Systems, Vol.l 2 No.2 April 2004, pp.346-349.

[10].F.Ueno, T.lnoue, I.Oota, M.Sasaki, "Regulation of Cuk Converters using Fuzzy controllers", in INTELEC'91, record 1991, pp 261-267.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

An Optimal Approach In Maximum Power Point Tracking For PV Applications Using A Fuzzy Controller

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: