Joe-Air Jiang1 , Tsong-Liang Huang2 , Ying-Tung Hsiao This email address is being protected from spambots. You need JavaScript enabled to view it.2 and Chia-Hong Chen2

1Department of Bio-Industrial Mechatronics Engineering, National Taiwan University Taipei, Taiwan 106, R.O.C.
2Department of Electric Engineering, Tamkang University Tamsui, Taiwan 251, R.O.C.


 

Received: December 10, 2004
Accepted: March 14, 2005
Publication Date: June 1, 2005

Download Citation: ||https://doi.org/10.6180/jase.2005.8.2.07  


ABSTRACT


The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point. This work develops a novel three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array. Finally, experimental results confirm the superior performance of the proposed method.


Keywords: Photovoltaic, Perturbation and Observation Algorithm, Maximum Power Point Tracking


REFERENCES


  1. [1] Ibrahim, H. E.-S. A. and Houssiny, F. F., “Microcomputer Controlled Buck Regulator for Maximum Power Point Tracker for DC Pumping System Operates from Photovoltaic System,” Proceedings of the IEEE International Fuzzy Systems Conference, August 2225, Vol. 1, pp. 406411 (1999).
  2. [2] Midya, P., Kerin, P. T., Turnbull, R. J., Reppa, R. and Kimball, J., “Dynamic Maximum Power Point Tracker for Photovoltaic Applications,” Proceedings of the IEEE Power Electronics Specialists Conference, PESC, Vol. 2, pp. 17101716 (1996).
  3. [3] Enslin, J. H. R. and Snyman, D. B., “Simplified FeedForward Control of the Maximum Power Pont in PV Installations,” Proceedings of the IEEE International Conference on Power Electronics Motion Control, Vol. 1, pp. 548553 (1992).
  4. [4] Bose, B. K., Szczeny, P. M. and Steigerwald, R. L., “Microcomputer Control of a Residential Photovoltaic Power Conditioning System,” IEEE Transactions on Industrial Electronics, Sept./Oct., Vol. IA-21, pp. 1182 1191 (1985).
  5. [5] Kuo, Y. C., Liang, T. J. and Chen, F. C., “Novel Maximum-Power-Point-Tracking Controller for Photovoltaic Energy Conversion System,” IEEE Transactions on Industrial Electronics, Vol. 48, pp. 594601 (2001).
  6. [6] Koutroulis, E., Kalaitzakis, K. and Voulgaris, N. C., “Development of a Microcontroller-Based Photovoltaic Maximum Power Point Tracking Control System,” IEEE Transactions on Power Electronics, Vol. 16, pp. 4654 (2001).
  7. [7] Hussein, K. H., Muta, I., Hoshino, T. and Osakada, M., “Maximum Photovoltaic Power Tracking: an Algorithm for Rapidly Changing Atmospheric Condition,” IEE Proc.-Gener. Transm. Distrib, Vol. 142, pp. 5964 (1995).
  8. [8] Matsui, M., Kitano, T., Xu, D. H. and Yang, Z. Q., “A New Maximum Photovoltaic Power Tracking Control Scheme Based on Power Equilibrium at DC Link,” Proceedings of the IEEE Industrial Electronics Society 25th Annual Conference, pp. 804809 (1999).
  9. [9] Bodur, M. and Ermis, M., “Maximum Power Point Tracking for Low Power Photovoltaic Solar Panels,” Proceedings of the IEEE Electro Technical Conference, pp. 758761 (1994).
  10. [10] Simoes, M. G., Franceschetti, N. N. and Friedhofer, M., “A Fuzzy Logic Based Photovoltaic Peak Power Tracking Controller,” Proceedings of the IEEE International Symposium on Industrial Electronics, pp. 300325 (1998).
  11. [11] Mahmoud, A. M. A., Mashaly, H. M., Kandil, S. A., Khashab, H. E. and Nashed, M. N. F., “Fuzzy Logic Implementation for Photovoltaic Maximum Power Tracking,” Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, Osaka, Japan, 2729 (2000).