Performance Comparision of P&O and INC MPPT Techniques for a Boost Converter in Solar Photovoltaic System

Abstract:

Maximum power point tracking techniques play an important role in solar photovoltaic systems to achieve the desired output power. These techniques track maximum power from the solar panel under varying solar irradiation and cell temperature. Among these techniques, Perturb & Observe (P&O) is used by many researchers. Due to the ease of realization and Incremental conductance (INC) algorithm is widely used because of reduced oscillations around maximum power point. In this paper, MATLAB/SIMULINK tool has been used to evaluate the performance of 125W solar PV panel by using these algorithms. The performance comparison of P&O and INC techniques is made and the results exhibit the maximum power tracking from solar PV panel and well regulated output voltage across the load is achieved.

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 89-94
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.89
• Online since: June 2014
• Authors: C. Vimalarani*, N. Kamaraj
• Keywords: DC/DC Boost Converter, INC, Maximum Power Point Tracking (MPPT), P&O, Solar Photovoltaic

References

[1] Hussam AL-Atrash, et. al, Effect of Measurement Noise and Bias on Hill-Climbing MPPT Algorithms, IEEE Transactions on Aerospace and Electronic Systems vol. 46, no. 2, April (2010).

DOI: 10.1109/taes.2010.5461654

[2] F. Liu, et. al., Comparison of P&O and Hill climbing MPPT methods for grid-connected PV CZonverter, in proc. 2008, 3rd IEEE Industrial Electronics and Applications Conference, p.804 – 807.

DOI: 10.1109/iciea.2008.4582626

[3] Nicola Femia, et. al., A Technique for Improving P&O MPPT Performances of Double-Stage Grid-Connected Photovoltaic Systems, IEEE Transactions on Industrial Electronics, vol. 56, no. 11, November 2009, pp.4473-4482.

DOI: 10.1109/tie.2009.2029589

[4] Desai, et. al., Maximum power point algorithm in PV Generation—An Overview, in Proceedings. International. Conference. Power Electronics and Drive Systems, 2007, pp.624-630.

DOI: 10.1109/peds.2007.4487766

[5] Anil K. Rai, Simulation model of ANN based maximum power point tracking controller for solar PV system, Solar Energy Materials & Solar Cells 95 (2011) 773–778.

DOI: 10.1016/j.solmat.2010.10.022

[6] Theodoros L. Kottas, et. al., New Maximum Power Point Tracker for PV Arrays Using Fuzzy Controller in Close Cooperation With Fuzzy Cognitive Networks, IEEE Transactions on Energy Conversion, vol. 21, no. 3, September 2006, pp.793-803.

DOI: 10.1109/tec.2006.875430

[7] Trishan Esram et. al., Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques, IEEE Transactions on Energy Conversions, vol. 22, no. 2, June 2007, pp.439-449.

DOI: 10.1109/tec.2006.874230

[8] J.M. Enrique, et. al., Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies, Solar Energy 81 (2007) , p.31–38.

DOI: 10.1016/j.solener.2006.06.006

[9] Marcelo Gradella Villalva , et. al., Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays, IEEE Transactions on Power Electronics, vol. 24, no. 5, May 2009, pp.1198-1208.

DOI: 10.1109/tpel.2009.2013862

[10] RanDall Shaffer, Fundamentals of power electronics with MATLAB, Firewall Media (An Imprint of Laxmi Publications. Pvt. Ltd).

[11] D. P. Hohm, et. al., Comparative Study of Maximum Power Point Tracking Algorithms, Progress in Photovoltaics: Research and Applications , 2003; 11: 47– 62 (DOI: 10. 1002/pip. 459).

DOI: 10.1002/pip.459