Unified MPPT controller for partially shaded panels in a photovoltaic array
详细信息    查看全文
  • 作者:R. Sridhar (1)
    S. Jeevananthan (2)
    S. S. Dash (1)
    N. T. Selvan (1)
  • 关键词:Maximum power point tracking (MPPT) ; solar energy ; photovoltaic (PV) ; differential evolution (DE) ; solar power generation ; evolutionary algorithm ; soft computing
  • 刊名:International Journal of Automation and Computing
  • 出版年:2014
  • 出版时间:October 2014
  • 年:2014
  • 卷:11
  • 期:5
  • 页码:536-542
  • 全文大小:1,089 KB
  • 参考文献:1. J. H. Williams, R. Ghanadan. Electricity reform in developing and transition countries: A reappraisal. / Energy, vol. 31, no. 6鈥?, pp. 815鈥?44, 2006. CrossRef
    2. D. J. Yang, H. M. Yin. Energy conversion efficiency of a novel hybrid solar system for photovoltaic, thermoelectric, and heat utilization. / IEEE Transactions on Energy Conversion, vol. 26, no. 2, pp. 662鈥?70, 2011. CrossRef
    3. W. H. Li, X. N. He. Review of nonisolated high-step-up DC/DC converters in photovoltaic grid-connected applications. / IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1239鈥?250, 2011. CrossRef
    4. H. S. Kim, J. H. Kim, B. D. Min, D. W. Yoo, H. J. Kim. A highly efficient PV system using a series connection of DC-DC converter output with a photovoltaic panel. / Renewable Energy, vol. 34, no. 11, pp. 2432鈥?436, 2009. CrossRef
    5. M. A. G. De Brito, L. Galotto, L. P. Sampaio, G. De Azevedo e Melo, C. A. Canesin. Evaluation of the main MPPT techniques for photovoltaic applications. / IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1156鈥?167, 2013. CrossRef
    6. Y. Q. Zou, Y. L. Yu, Y. Zhang, J. C. Lu. MPPT control for PV generation system based on an improved inccond algorithm. / Procedia Engineering, vol. 29, pp. 105鈥?09, 2012. CrossRef
    7. A. K. Abdelsalam, A. M. Massoud, S. Ahmed, P. N. Enjeti. High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids. / IEEE Transactions on Power Electronics, vol. 26, no. 4, pp. 1010鈥?021, 2011. CrossRef
    8. Y. Yang, F. P. Zhao. Adaptive perturb and observe MPPT technique for grid-connected photovoltaic inverters. / Procedia Engineering, vol. 23, pp. 468鈥?73, 2011. CrossRef
    9. B. Kumar, Y. K. Chauhan, V. Shrivastava. A comparative study of maximum power point tracking methods for a photovoltaic-based water pumping system. / International Journal of Sustainable Energy, vol. 33, no. 4, pp. 797鈥?10, 2013. CrossRef
    10. A. K. Mahammad, S. Saon, W. S. Chee. Development of optimum controller based on MPPT for photovoltaic system during-shading-condition. / Procedia Engineering, vol. 53, pp. 337鈥?46, 2013. CrossRef
    11. A. Kouchaki, H. Iman-Eini, B. Asaei. Maximum Power Point tracking algorithm based on I-V characteristic of PV array under uniform and non-uniform conditions. In / Proceedings of 2012 IEEE International Conference on Power and Energy (PECon), IEEE, Kota Kinabalu, pp. 331鈥?36, 2012. CrossRef
    12. E. Karatepe, T. Hiyama. Performance enhancement of photovoltaic array through string and central based MPPT system under non-uniform irradiance conditions. / Energy Conversion and Management, vol. 62, pp. 131鈥?40, 2012. CrossRef
    13. Y. L. Liu, H. Zhou, Z. Cheng. MPPT control method of PV system based on PSO. / Computer Engineering, vol. 36, no. 15, pp. 265鈥?67, 2010.
    14. V. Phimmasone, T. Endo, Y. Kondo, M. Miyatake. Improvement of maximum power point tracker for photovoltaic generators with partial swarm optimization technique by adding repulsive force among agents. In / Proceedings of IEEE Conference on Electrical Machines and Systems, IEEE, Tokyo, Japan, pp. 1鈥?, 2009.
    15. V. Phimmasone, Y. Kondo, T. Kamejina, M. Miyatake. Verification of efficacy of the improved PSO-based MPPT controlling multiple photovoltaic arrays. In / Proceedings of the 9th IEEE International Conference on Power Electronics and Drive Systems, IEEE, Singapore, pp. 1015鈥?019, 2011.
    16. S. Roy Chowdhury, H. Saha. Maximum power point tracking of partially shaded solar photovoltaic arrays. / Solar Energy Materials Solar Cells, vol. 94, no. 9, pp. 1441鈥?447, 2010. CrossRef
    17. A. Kornelakis. Multiobjective particle swarm optimization for the optimal design of photovoltaic grid-connected systems. / Solar Energy, vol. 84, no. 12, pp. 2022鈥?033, 2010. CrossRef
    18. R. Suryavanshi, D. R. Joshi, S. H. Jangamshetti. PSO and P&O based MPPT technique for SPV panel under varying atmospheric conditions. In / Proceedings of International Conference on Power, Signals, Controls and Computation, IEEE, Thrissur, Kerala, India, pp. 1鈥?, 2012.
    19. M. F. N. Tajuddin, S. M. Ayob, Z. Salam, M. S. Saad. Evolutionary based maximum power point tracking technique using differential evolution algorithm. / Energy and Buildings, vol. 67, pp. 245鈥?52, 2013. CrossRef
    20. M. Sheraz, M. A. Abido. An efficient MPPT controller using differential evolution and neural network. In / Proceedings of IEEE International Conference on Power and Energy, IEEE, Kota Kinabalu, Malaysia, pp. 378鈥?83, 2012.
    21. S. Taheri, H. Taheri, Z. Salam, K. Ishaque. Modified Maximum Power Point tracking (MPPT) of grid-connected PV system under partial shading conditions. In / Proceedings of the 25th IEEE Canadian Conference on Electrical & Computer Engineering, IEEE, Montreal, Canada, pp. 1鈥?, 2012.
    22. Z. Salam, J. Ahmed, B. S. Merugu. The application of soft computing methods for MPPT of PV system: A technological and status review. / Applied Energy, vol. 107, pp. 135鈥?48, 2013. CrossRef
    23. A. A. Kulaksz, R. Akkaya. A genetic algorithm optimized ANN-based MPPT algorithm for a stand-alone PV system with induction motor drive. / Solar Energy, vol. 86, no. 9, pp. 2366鈥?375, 2012. CrossRef
    24. S. Hadji, J. P. Gaubert, F. Krim. Genetic algorithms for maximum power point tracking in photovoltaic systems. In / Proceedings of the 14th European Conference on Power Electronics and Applications, IEEE, Birmingham, UK, pp. 1鈥?, 2011.
    25. L. L. Jiang, D. L. Maskell, J. C. Patra. A novel ant colony optimization-based maximum power point tracking for photovoltaic systems under partially shaded conditions. / Energy and Buildings, vol. 58, pp. 227鈥?36, 2013. CrossRef
    26. M. Seyedmahmoudian, S. Mekhilef, R. Rahmani, R. Yusof, E. T. Renani. Analytical modeling of partially shaded photovoltaic systems. / Journal of Energies, vol. 6, no. 1, pp. 128鈥?44, 2013. CrossRef
  • 作者单位:R. Sridhar (1)
    S. Jeevananthan (2)
    S. S. Dash (1)
    N. T. Selvan (1)

    1. Department of Electrical and Electronics Engineering, SRM University, Tamil Nadu, 603203, India
    2. Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry, 605014, India
  • ISSN:1751-8520
文摘
The power output of the photovoltaic (PV) system having multiple arrays gets reduced to a great extent when it is partially shaded due to environmental hindrances. The maximum power trackers which are conventionally used may not be competent enough to find the maximum power point (MPP) during partially shaded conditions. The sensible reason for the failure of conventional trackers is during partial shaded conditions the PV arrays exhibit multi peak power curves, thereby making simple maximum power point tracking (MPPT) algorithms like perturb and observe (P&O) to get stuck with local maxima instead of capturing global maxima. Therefore, global search MPPT aided by evolutionary and swarm intelligence algorithms will be conducive to find global power point during partially shaded conditions. This work suggests a unified controller which feeds control signal to its power electronic conditioner placed at each module. The evolutionary algorithm which is taken into consideration in this work is differential evolution (DE). The performance of the proposed method is compared to the classical un-dimensional search controller and it is evident from the Matlab/Simulink results that the unified controller prevails over the distributed counterpart.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700