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A New PSIM Model for PV Panels Employing Datasheet-based Parameter Tuning

데이터시트 기반의 새로운 PSIM 태양광 모델

  • Park, Jun-Young (School of Electrical Engineering, University of Ulsan) ;
  • Choi, Sung-Jin (School of Electrical Engineering, University of Ulsan)
  • Received : 2015.09.01
  • Accepted : 2015.10.05
  • Published : 2015.12.20

Abstract

In the simulation of photovoltaic (PV) power conditioning systems, PSIM is a widely accepted circuit simulation platform because of its fast speed and C-code support. PSIM provides two kinds of generic PV panel models: functional model and physical model. Whereas the functional model simulates PV in the standard test condition (STC) only, the physical model can emulate changing PV characteristics under varying temperatures and irradiation conditions and is thus more suitable for system simulation. However, the physical model requires complicated parameters from users, and thus it is prone to errors and is difficult to use. In this study, a new PSIM model for PV is presented to solve these problems. The proposed model utilizes manufacturers' datasheet values specified under STC only and excludes user-defined information from input parameters. To achieve good accuracy even in varying environmental conditions, single-diode model parameters are successively tuned to a time-varying virtual datasheet. Comparison with a conventional physical model shows that the proposed model provides more accurate simulation according to error analysis based on the EN50530 standard.

Keywords

References

  1. J. Cubas, S. Pindado, and M. Victoria, "On the analytical approach for modeling photovoltaic systems behavior," Journal of Power Source, Vol. 247, pp. 467-474, Feb. 2014. https://doi.org/10.1016/j.jpowsour.2013.09.008
  2. PSIM User's Guide, Ver. 9, POWERSIM, May 2010.
  3. A. K. Singhal and R. Narvey, “PSIM and MATLAB based simulation of PV array for enhance the performance by using MPPT algorithm,” International Journal of Electrical Engineering, Vol. 4, No. 5, pp. 511-520, Jul. 2011.
  4. W. De Soto, S. A. Klein, and W. A. Beckman, "Improved and validation of a model for photovoltaic array performance," Solar Energy, Vol. 80, Issue 1, pp. 78-88, Jan. 2007. https://doi.org/10.1016/j.solener.2005.06.010
  5. J. J. Soon and K. S. Low, “Photovoltaic model identification using particle swarm optimization with inverse barrier constraint,” IEEE Transactions on Power Electronics, Vol. 27, No. 9, pp. 3975-3983, Sep. 2012. https://doi.org/10.1109/TPEL.2012.2188818
  6. D. L. King, J. A. Kratochvil, and W. E. Boyson, "Temperature coefficients for PV modules and arrays: measurement method, difficulties, and results," IEEE 26th Photovoltaic Specialists Conference, pp. 1183-1186, Sep. 30-Oct. 3, 1997.
  7. A. N. Celik and N. Acikgoz, "Modeling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Vol. 84, Issue 1, pp. 1-5, Jan. 2007. https://doi.org/10.1016/j.apenergy.2006.04.007
  8. J. Y. Park and S. J. Choi, "A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model," Solar Energy, Vol. 122, pp. 1235-1244, Dec. 2015. https://doi.org/10.1016/j.solener.2015.11.001
  9. J. Crispim, M. Carreira, and R. Castro, "Validation of photovoltaic electrical models against manufacturer's data and experimental results,'' International Conference on Power Engineering, Energy and Electrical Drives, Apr. 12-14, 2007.
  10. M. G. Villalva, J. R. Gazoli, and E. R. Filho, "Comprehensive approach to modeling and simulation of photovoltaic arrays," IEEE Transactions on Power Electronics, Vol. 24, Issue 5, pp. 1198-1208, May 2009. https://doi.org/10.1109/TPEL.2009.2013862
  11. D. Sera, R. Teodorescu, and P. Rodriguez, "PV panel model based on datasheet values," IEEE International Symposium on Industrial Electronics (ISIE 2007), pp. 2392-2396, Jun. 2007.
  12. J. Y. Park and S. J. Choi, "Datasheet-based circuit parameter extraction method for maximum power point simulation of photovoltaic array," ICPE 2015-ECCE Asia, pp. 1413-1419, Jun. 2015.
  13. P. Venkataraman, Applied Optimization with MATLAB Programming, 2nd ed., WILEY, 2009.
  14. S. S. Raghuwanshi, A. Singh, and Y. Mokhariwale, "A comparison & performance of simulation tools MATLAB/SIMULINK, PSIM & PSPICE for power electronics circuit," International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, Issue 3, pp. 187-191, Mar. 2012.
  15. IEC EN50530, Standard for Overall Efficiency of Photovoltaic Inverters, CENELEC, Stassart 35, B-1050 Brussels.