COMPARISON OF MPPT ALGORITHMS FOR PHOTOVOLTAIC SYSTEMS UNDER UNIFORM IRRIADIANCE BETWEEN PSO AND P&O

  • Ahmed Hossam EL-Din Electrical and Control Engineering Department, College of Engineering Arab Academy for Science and Technology, Maritime Transport, Cairo, Egypt
  • S. S Mekhamer Electrical Power and Machines Department, Faculty of Engineering-ain Shams University, Cairo, Egypt
  • Hadi M.El-Helw Electrical and Control Engineering Department, College of Engineering Arab Academy for Science and Technology, Maritime Transport, Cairo, Egypt
Keywords: Perturb and Observe [P&O], Particle Swarm Optimization [PSO], Maximum Power Point Tracking [MPPT], Photovoltaic [PV] System

Abstract

This paper shows a Comparison between Conventional Method [P&O] and particle swarm optimization [PSO] Based on MPPT Algorithms for Photovoltaic Systems under uniform irradiance and temperature. The main idea is to show that PSO method has a very high tracking speed and has the ability to track MPP under different environmental conditions in addition to an easy hardware implementation using a low-cost microcontroller. MATLAB simulations are carried out under very challenging conditions, namely irradiance and temperature, which reflect a change in the load [KW]. The proposed PSO tracking method Results will be compared with conventional method called [P&O] through MATLAB/SIMULINK.

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References

Y. S. Xiong, S. Qian, and J. M. Xu, “Research on constant voltage with incremental conductance MPPT method,” in Proceedings of the Power and Energy Engineering Conference, March 2012. DOI: https://doi.org/10.1109/APPEEC.2012.6307155

K. H. Chao and C. L. Chiu, “Design and implementation of an intelligent maximum power point tracking controller for photovoltaic systems,” International Review of Electrical Engineering, vol. 7, no. 2, pp. 3759–3768, 2012

N. Femia, D. Granozio, G. Petrone, G. Spagnuolo, and M. Vitelli, “Predictive and adaptive MPPT perturb and observe method,” IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 934–950, 2007 DOI: https://doi.org/10.1109/TAES.2007.4383584

Y. Liu, D. Xia, and Z. He, "MPPT of a PV system based on the particleswarm optimization," in Electric Utility Deregulation andRestructuring and Power Technologies (DRPT), 2011 4th InternationalConference on, 2011, pp. 1094-1096. DOI: https://doi.org/10.1109/DRPT.2011.5994058

A. N. A. Ali, M. H. Saied, M. Z. Mostafa and T. M. Abdel-Moneim, "A survey of maximum PPT techniques of PV systems," in Energytech, 2012 IEEE, 2012, pp. 1-17

A. Durgadevi, S. Arulselvi and S. Natarajan, "Study and implementation of maximum power point tracking (MPPT) algorithm for photovoltaic systems," in Electrical Energy Systems (ICEES), 2011 1st International Conference on, 2011, pp. 240-245 DOI: https://doi.org/10.1109/ICEES.2011.5725336

T. Esram and P. L. Chapman, "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques," Energy Conversion, IEEE Transactions on, vol. 22, pp. 439-449, 2007 DOI: https://doi.org/10.1109/TEC.2006.874230

Y. Kuo, T. Liang and J. Chen, "Novel maximum-power-point-tracking controller for photovoltaic energy conversion system," Industrial Electronics, IEEE Transactions on, vol. 48, pp. 594-601, 2001 DOI: https://doi.org/10.1109/41.925586

O. Santos, J.L., et al., A maximum power point tracker for PV systems using a high-performance boost converter. Solar Energy, 2006. 80(7): p.772-778 DOI: https://doi.org/10.1016/j.solener.2005.06.014

Femia, N., ET al., Optimization of perturbs and observes maximum powerpoint tracking method. Power Electronics, IEEE Transactions on, 2005.20(4): p. 963-973 DOI: https://doi.org/10.1109/TPEL.2005.850975

International Science Index, Energy and Power Engineering Vol: 8, No: 4, 2014 waset.org/Publication/9998036

Published
2017-10-31
How to Cite
Hossam EL-Din, A., Mekhamer, S., & M.El-Helw, H. (2017). COMPARISON OF MPPT ALGORITHMS FOR PHOTOVOLTAIC SYSTEMS UNDER UNIFORM IRRIADIANCE BETWEEN PSO AND P&O . International Journal of Engineering Technologies and Management Research, 4(10), 68-77. https://doi.org/10.29121/ijetmr.v4.i10.2017.108