i-manager Publications

Peak Power Tracking Technique for a Small-Scale Photovoltaic System

Amine Daoud*

* Department of Electronics, Faculty of Electrical Engineering, University of Sciences and Technology of Oran, Oran, Algeria.

Periodicity:November - January'2019
DOI : https://doi.org/10.26634/jps.6.4.16047

Abstract

A photovoltaic (PV) generator can directly transform the sun's rays into usable electric power. The power-voltage characteristic of PV generator is highly nonlinear and its optimal power point varies with sunlight intensity and temperature. Thus, to increase the efficiency of a PV system, it is important to track the optimal power point instantly. This paper presents a simple variable step-size maximum power point tracking (MPPT) technique for a small-scale PV system. The latter is composed of a PV array, a DC/DC power converter, and a DC motor-pump. Furthermore, using this technique, only the output voltage of the switching converter needs to be sensed in order to track the optimal power point. Compared with classical Perturbation & Observation (P&O) technique, the proposed MPPT technique can largely improve the MPPT efficiency and the total volume of water pumped a day. Also for comparison purpose, the artificial neural network (ANN) based MPPT technique is addressed in this manuscript. Moreover, the MPPT techniques considered in this study are applied to a solar-powered water pumping system under different climate conditions. Finally, mathematical modeling and computer simulations of such small-scale PV system are performed using the MATLAB environment.

Keywords

P&O MPPT Technique, Variable Step-size, ANN, DC/DC Power Converter, Duty Cycle, PV Array.

How to Cite this Article?

Daoud, A. (2019). Peak Power Tracking Technique for a Small-Scale Photovoltaic System. i-manager’s Journal on Power Systems Engineering, 6(4), 22-36. https://doi.org/10.26634/jps.6.4.16047

References

[1]. Arab, A. H., Benghanem, M., &Chenlo, F. (2006). Motor-pump system modelization. Renewable Energy, 31(7), 905-913. https://doi.org/10.1016/j.renene.2005.06. 003

[2]. Belkaid, A., Colak, I., & Isik, O. (2016). Photovoltaic maximum power point tracking under fast varying of solar radiation. Applied Energy, 179, 523-530. https://doi.org/10.1016/j.apenergy.2016.07.034

[3]. Chen, P. C., Chen, P. Y., Liu, Y. H., Chen, J. H., & Luo, Y. F. (2015). A comparative study on maximum power point tracking techniques for photovoltaic generation systems operating under fast changing environments. Solar Energy, 119, 261-276. https://doi.org/10.1016/j.solener. 2015.07.006

[4]. Daud, A. K., & Mahmoud, M. M. (2005). Solar powered induction motor-driven water pump operating on a desert well, simulation and field tests. Renewable Energy, 30(5), 701-714. https://doi.org/10.1016/j.renene.2004.02.016

[5]. El Khazane, J., & Tissir, E. H. (2018). Achievement of MPPT by finite time convergence sliding mode control for photovoltaic pumping system. Solar Energy, 166, 13-20. https://doi.org/10.1016/j.solener.2018.03.026

[6]. Eltawil, M. A., & Zhao, Z. (2013). MPPT techniques for photovoltaic applications. Renewable and Sustainable Energy Reviews, 25, 793-813. https://doi.org/10.1016/j. rser.2013.05.022

[7]. Enany, M. A., Farahat, M. A., & Nasr, A. (2016). Modeling and evaluation of main maximum power point tracking algorithms for photovoltaics systems. Renewable and Sustainable Energy Reviews, 58, 1578-1586. https://doi.org/10.1016/j.rser.2015.12.356

[8]. Femia, N., Petrone, G., & Spagnuolo, G. (2012). Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems. Florida: CRC Press.

[9]. Huang, Y. P., & Hsu, S. Y. (2016). A performance evaluation model of a high concentration photovoltaic module with a fractional open circuit voltage-based maximum power point tracking algorithm. Computers & Electrical Engineering, 51, 331-342. https://doi.org/ 10.1016/j.compeleceng.2016.01.009

[10]. Jafar, M. (2000). A model for small-scale photovoltaic solar water pumping. Renewable Energy, 19(1-2), 85-90. https://doi.org/10.1016/S0960-1481 (99)00020-8

[11]. Jiang, Y., Qahouq, J. A. A., & Haskew, T. A. (2012). Adaptive step size with adaptive-perturbation-frequency digital MPPT controller for a single-sensor photovoltaic solar system. IEEE Transactions on Power Electronics, 28(7), 3195-3205. https://doi.org/10.1109/TPEL.2012. 2220158

[12]. Karanjkar, D. S., Chatterji, S., Shimi, S. L., & Kumar, A. (2014, March). Real time simulation and analysis of maximum power point tracking (MPPT) techniques for solar photo-voltaic system. In 2014 Recent Advances in Engineering and Computational Sciences (RAECS) (pp. 1- 6). IEEE. https://doi.org/10.1109/RAECS.2014.6799656

[13]. Lyden, S., & Haque, M. E. (2015). Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis. Renewable and Sustainable Energy Reviews, 52, 1504- 1518. https://doi.org/10.1016/j.rser.2015.07.172

[14]. Matam, M., Barry, V. R., & Govind, A. R. (2018). Optimized Reconfigurable PV array based Photovoltaic water-pumping system. Solar Energy, 170, 1063-1073. https://doi.org/10.1016/j.solener.2018.05.046

[15]. Messalti, S., Harrag, A., & Loukriz, A. (2017). A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation. Renewable and Sustainable Energy Reviews, 68, 221-233.

[16]. Muhsen, D. H., Khatib, T., & Nagi, F. (2017). A review of photovoltaic water pumping system designing methods, control strategies and field performance. Renewable and Sustainable Energy Review, 68(1), 70-86. https://doi.org/ 10.1016/j.rser.2016.09.131

[17]. Rashid, M. H. (Ed.) (2015). Alternative Energy in Power Electronics. Florida: Butterworth-Heinemann-Elsevier. https://doi.org/10.1016/C2012-0-07333-4

[18]. Rashid, M. H. (Ed.) (2018). Power Electronics 3^rd Handbook ( Ed.). Florida: Butterworth-Heinemann- Elsevier.

[19]. Rai, A. K., Kaushika, N. D., Singh, B., & Agarwal, N. (2011). Simulation model of ANN based maximum power point tracking controller for solar PV system. Solar Energy Materials and Solar Cells, 95(2), 773-778. https://doi.org/ 10.1016/j.solmat.2010.10.022

[20]. Yahyaoui, I., Chaabene, M., & Tadeo, F. (2016). Evaluation of Maximum Power Point Tracking algorithm for off-grid photovoltaic pumping. Sustainable Cities and Society, 25, 65-73. https://doi.org/10.1016/j.scs.2015.11. 005

[21]. Zhao, J., Zhou, X., Ma, Y., & Liu, W. (2015). A novel maximum power point tracking strategy based on optimal voltage control for photovoltaic systems under variable environmental conditions. Solar Energy, 122, 640-649. https://doi.org/10.1016/j.solener.2015.09.040

Peak Power Tracking Technique for a Small-Scale Photovoltaic System

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:

	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