THE DESIGN OF STANDALONE PV SYSTEM USING P&O ALGORITHM FOR MAXIMUM POWER POINT TRACKING

Author:

ÖZEL Kenan1ORCID,KARAARSLAN Ahmet2ORCID

Affiliation:

1. Ankara University

2. Ankara Yildirim Beyazit University

Abstract

This paper presents the simulation of output power control of photovoltaic panel using Maximum Power Point Tracking (MPPT) controller of boost converter. Due to the stochastic behavior of temperature and irradiation condition, integrating a MPPT algorithm to DC-DC converter is important for extracting the maximum power from photovoltaic system. The Perturb and Observe (P&O) algorithm has been preferred due to its lower complexity and easy implementation. The main aim of this study is to track the maximum operation point of photovoltaic system and to control the output power with respect to the changing irradiation and temperature. The simulation results demonstrate that MPPT controller prevents the power deviation and provide to extract maximum possible power from solar array. 

Publisher

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Subject

General Medicine

Reference13 articles.

1. G.J.G. Jothi, N. Geetha, “An Enhanced MPPT Technique for High Gain DC-DC Converter for Photovoltaic Applications”, 2016 International Conference On Circuit, Power And Computing Technologies [ICCPCT], 2016 IEEE, 2016.

2. A. Haque, “Maximum Power Point Tracking (MPPT) Scheme for Solar Photovoltaic System”, Energy Technology& Policy (2014) Published with License by Taylor & Francis Group LLC, 2014, pp. 115-122.

3. M. Bodur, M. Ermiş, “Maximum Power Point Tracking for Low Power Photovoltaic Solar Panels”, IEEE Electrotechnical Conference Proc, 1994, pp. 758-761.

4. A. Attou, A. Massoum, M. Saidi, “Photovoltaic Power Control Using MPPT And Boost Converter”, Balkan Journal of Electrical&Computer Engineering, 2014, vol. 2, no. 1, pp.23-27.

5. T. Salmi, M. Bouzguenda, "Matlab/Simulink based modelling of solar photovoltaic cell", International Journal of Renewable Energy Research, Vol. 2, no. 2, 2012.

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