International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

A Modified Perturb and Observe Sliding Mode Maximum Power Point Tracking Method for Photovoltaic System uUnder Partially Shaded Conditions

  • Hahm, Jehun (Disaster Robotics R&D Center, Korea Institute of Robot Convergence) ;
  • Kim, Euntai (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Heejin (Department of Electrical, Electronic and Control Engineering, Hankyong National University) ;
  • Yoon, Changyong (Department of Electrical Engineering, Suwon Science College)
  • Received : 2016.11.21
  • Accepted : 2016.12.13
  • Published : 2016.12.12
Download PDF
⟨ Previous Next ⟩

Abstract

The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

Keywords

References

  1. J. Hahm, H. Kang, J. Baek, H. Lee, and M. Park, "Design of incremental conductance sliding mode MPPT control applied by integrated photovoltaic and proton exchange membrane fuel cell system under various operating conditions for BLDC motor," International Journal of Photoenergy, vol. 2015, article ID. 828129, 2015. http://dx.doi.org/10.1155/2015/828129
  2. J. Hahm, J. Baek, H. Kang, H. Lee, and M. Park, "Matlabbased modeling and simulations to study the performance of different MPPT techniques used for photovoltaic systems under partially shaded conditions," International Journal of Photoenergy, vol. 2015, article ID. 979267, 2015. http://dx.doi.org/10.1155/2015/979267
  3. K. Branker, M. J. M. Pathak, and J. M. Pearce, "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, vol. 15, no. 9, pp. 4470-4482, 2011. http://dx.doi.org/10.1016/j.rser.2011.07.104
  4. J. O. Jaber, Q. M. Jaber, S. A. Sawalha, and M. S. Mohsen, "Evaluation of conventional and renewable energy sources for space heating in the household sector," Renewable and Sustainable Energy Reviews, vol. 2, no. 1, pp. 278-289, 2008. http://dx.doi.org/10.1016/j.rser.2006.05.004
  5. W. C. Lattin and V. P. Utgikar, "Transition to hydrogen economy in the United States: a 2006 status report," International Journal of Hydrogen Energy, vol. 32, no. 15, pp. 3230-3237, 2007. http://dx.doi.org/10.1016/j.ijhydene.2007.02.004
  6. J. H. R. Enslin, M. S. Wolf, D. B. Snyman, and W. Swiegers, "Integrated photovoltaic maximum power point tracking converter," IEEE Transactions on Industrial Electronics, vol. 44, no. 6, pp. 769-773, 1997. http://dx.doi.org/10.1109/41.649937
  7. G. Rizzo, I. Arsie, and M. Sorrentino, "Solar energy for cars: perspectives, opportunities and problems," in Proceedings of GTAA Meeting, Mulhouse, France, 2010.
  8. D. K. Ross, "Hydrogen storage: the major technological barrier to the development of hydrogen fuel cell cars," Vacuum, vol. 80, no. 10, pp. 1084-1089, 2006. http://dx.doi.org/10.1016/j.vacuum.2006.03.030
  9. S. M. Diamond and M. G. Ceruti, "Application of wireless sensor network to military information integration," in Proceedings of 2007 5th IEEE International Conference on Industrial Informatics, Vienna, Austria, 2007, pp. 317-322. http://dx.doi.org/10.1109/INDIN.2007.4384711
  10. B. C. Mecrow and A. G. Jack, "Efficiency trends in electric machines and drives," Energy Policy, vol. 36, no. 12, pp. 4336-4341, 2008. http://dx.doi.org/10.1016/j.enpol.2008.09.042
  11. R. A. Smith, "Enabling technologies for demand management: transport," Energy Policy, vol. 36, no. 12, pp. 4444-4448, 2008. http://dx.doi.org/10.1016/j.enpol.2008.09.072
  12. W. Hong, W. Lee, and B. K. Lee, "Dynamic simulation of brushless DC motor drives considering phase commutation for automotive applications," in Proceedings of 2007 IEEE International Electric Machines & Drives Conference, Antalya, Turkey, 2007, pp. 1377-1383. http://dx.doi.org/10.1109/IEMDC.2007.383630
  13. P. Pillay and R. Krishnan, "Modeling, simulation, and analysis of permanent-magnet motor drives. II. The brushless DC motor drive," IEEE Transactions on Industry Applications, vol. 25, no. 2, pp. 274-279, 1989. http://dx.doi.org/10.1109/28.25542
  14. X. Sun, W. Wu, B. Wang, and X. Wei, "A research on photovoltaic energy controlling system," in Proceedings of the 5th International Conference on Electrical Machines and Systems, Shenyang, China, 2001, pp. 542-545. http://dx.doi.org/10.1109/ICEMS.2001.970731
  15. M. C. Glass, "Improved solar array power point model with SPICE realization," in Proceedings of the 31st Intersociety Energy Conversion Engineering Conference, Washington, DC, 1996, pp. 286-291. http://dx.doi.org/10.1109/IECEC.1996.552886
  16. S. J. Kim, B. M. Kim, and S. H. Kim, "Design of CRIObased real-time controller for small-sized wind turbine generating system and comparative study on performance of various MPPT algorithms," Journal of Korean Institute of Intelligent Systems, vol. 21, no. 1, pp. 55-61, 2011. http://dx.doi.org/10.5391/JKIIS.2011.21.1.55
  17. F. Asghar, M. Talha, and S. H. Kim, "Development of energy management system for micro-grid with photovoltaic and battery system," Journal of Korean Institute of Intelligent Systems, vol. 25, no. 3, pp. 299-305, 2015. http://dx.doi.org/10.5391/JKIIS.2015.25.3.299
  18. T. Tafticht, K. Agbossou, M. L. Doumbia, and A. Cheriti, "An improved maximum power point tracking method for photovoltaic systems," Renewable Energy, vol. 33, no. 7, pp. 1508-1516, 2008. http://dx.doi.org/10.1016/j.renene.2007.08.015
  19. S. J. Seo, D. W. Kim, and G. T. Park, "Design of adaptive fuzzy sliding mode controller for chattering reduction," Journal of Korean Institute of Intelligent Systems, vol. 14, no. 6, pp. 752-758, 2004. http://dx.doi.org/10.5391/JKIIS.2004.14.6.752
  20. S. M. Alghuwainem, "Matching of a dc motor to a photovoltaic generator using a step-up converter with a currentlocked loop," IEEE Transactions on Energy Conversion, vol. 9, no. 1, pp. 192-198, 1994. http://dx.doi.org/10.1109/60.282492
  21. W. Xiao, W. G. Dunford, and A. Capel, "A novel modeling method for photovoltaic cells," in Proceedings of 2004 IEEE 35th Annual Power Electronics Specialists Conference, Aachen, Germany, 2004, pp. 1950-1956. http://dx.doi.org/10.1109/PESC.2004.1355416
  22. J. A. Gow and C. D. Manning, "Development of a photovoltaic array model for use in power-electronics simulation studies," IEE Proceedings-Electric Power Applications, vol. 146, no. 2, pp. 193-200, 1999. http://dx.doi.org/10.1049/ip-epa:19990116
  23. W. De Soto, S. A. Klein, and W. A. Beckman, "Improvement and validation of a model for photovoltaic array performance," Solar Energy, vol. 80, no. 1, pp. 78-88, 2006. http://dx.doi.org/10.1016/j.solener.2005.06.010