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International Journal of Photoenergy
Volume 2013, Article ID 583163, 6 pages
http://dx.doi.org/10.1155/2013/583163
Research Article

Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems

Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Section 2, Zhongshan Road, Taiping Distatrict, Taichung 41170, Taiwan

Received 9 June 2013; Accepted 20 September 2013

Academic Editor: Adel M. Sharaf

Copyright © 2013 Kuei-Hsiang Chao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Barchowsky, “A comparative study of MPPT methods for distributed photovoltaic generation,” in Proceedings of the IEEE Innovative Smart Grid Technologies Conference, pp. 1–7, January 2012.
  2. M. A. S. Masoum, H. Dehbonei, and E. F. Fuchs, “Theoretical and experimental analyses of photovoltaic systems with voltage- and current-based maximum power-point tracking,” IEEE Transactions on Energy Conversion, vol. 17, no. 4, pp. 514–522, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. 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.
  4. 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. View at Publisher · View at Google Scholar · View at Scopus
  5. K. H. Chao and Y. H. Lee, “A maximum power point tracker with automatic step size tuning scheme for photovoltaic systems,” International Journal of Photoenergy, vol. 2012, Article ID 176341, 10 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Ramaprabha, V. Gothandaraman, K. Kanimozhi, R. Divya, and B. L. Mathur, “Maximum power point tracking using GA-optimized artificial neural network for solar PV system,” in Proceedings of the 1st International Conference on Electrical Energy Systems (ICEES '11), pp. 264–268, Newport Beach, Calif, USA, January 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. A. H. Besheer, “Ant colony system based PI maximum power point tracking for stand alone photovoltaic system,” in Proceedings of the IEEE International Industrial Technology Conference, pp. 693–698, March 2012.
  8. M. Adly, “An optimized fuzzy maximum power point tracker for stand alone photovoltaic systems: ant colony approach,” in Proceedings of the 7th IEEE Industrial Electronics and Applications Conference, pp. 113–119, July 2012.
  9. 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. View at Google Scholar
  10. H. T. Yau and C. U. Wu, “Comparison of extremum-seeking control techniques for maximum power point tracking in photovoltaic systems,” Energies, vol. 4, no. 12, pp. 2180–2195, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. H. Zazo, E. del Castillo, J. F. Reynaud, and R. Leyva, “MPPT for photovoltaic modules via newton-like extremum seeking control,” Energies, vol. 5, pp. 2653–2666, 2012. View at Google Scholar
  12. L. R. Chen, C. H. Tsai, Y. L. Lin, and Y. S. Lai, “A biological swarm chasing algorithm for tracking the PV maximum power point,” IEEE Transactions on Energy Conversion, vol. 25, no. 2, pp. 484–493, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. K. H. Tang, K. H. Chao, Y. W. Chao, and J. P. Chen, “Design and implementation of a simulator for photovoltaic modules,” International Journal of Photoenergy, vol. 2012, Article ID 368931, 6 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Kennedy and R. C. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, December 1995. View at Scopus
  15. R. C. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory,” in Proceedings of the 6th International Symposium on Micro Machine and Human Science, pp. 39–43, October 1995. View at Scopus
  16. D. Srinivasan, W. H. Loo, and R. L. Cheu, “Traffic incident detection using particle swarm optimization,” in Proceedings of the IEEE Swarm Intelligence Symposium, pp. 144–151, April 2003.
  17. W. H. Han, P. Yang, H. Ren, and J. Sun, “Comparison study of several kinds of inertia weights for PSO,” in Proceedings of the 1st IEEE International Conference on Progress in Informatics and Computing (PIC '10), pp. 280–284, Shanghai, China, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Elshaer, A. Mohamed, and O. Mohammed, “Smart optimal control of DC-DC boost converter in PV systems,” in Proceedings of the IEEE/PES Transmission and Distribution Conference and Exposition: Latin America (T and D-LA '10), pp. 403–410, Sao Paulo, Brazil, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. MATLAB Official Website, http://www.mathworks.com/products/matlab/.