Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Effective in-laboratory test method for PV power generation with enhanced PV emulation accuracy

  • Park, Seungbin (Dawonsys Co., Ltd) ;
  • Kim, Mina (School of Electrical Engineering, Ulsan National Institute of Science and Technology) ;
  • Jung, Jee-Hoon (School of Electrical Engineering, Ulsan National Institute of Science and Technology)
  • Received : 2019.11.12
  • Accepted : 2020.03.22
  • Published : 2020.07.20
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Abstract

Photovoltaic (PV) systems require outdoor experiments to verify their functionality and reliability. However, outdoor experiments require complicated experimental set-ups including PV panels, power conversion circuits and controllers. In addition, the experimental data obtained from such systems can be easily affected by environmental conditions such as weather, temperature and season. Recently, PV emulation methods have been proposed that can emulate PV characteristics in the laboratory by connecting a DC supply to PV modules in parallel. However, the voltage characteristics of the conventional PV emulator are different from those of real PV panels, which degrades the accuracy of the PV emulator. This paper proposes an effective PV emulation method with accuracy improvements at the maximum power point of the PV panel, which is based on a simple circuit analysis. Using the proposed PV emulation method, the performance verification of a target PV system can be easily and accurately obtained. The proposed emulation method for PV power generation is experimentally verified by comparisons between it, the conventional emulation method and results obtained from outdoor experiments.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIT). (NRF-2019R1A2B5B01069665).

References

  1. Pilawa-Podgurski, R.C.N., Perreault, D.J.: Submodule integrated distributed maximum power point tracking for solar photovoltaic applications. IEEE Trans. Power Electron. 28(6), 2957-2967 (2013) https://doi.org/10.1109/TPEL.2012.2220861
  2. Moo, C., Wu, G.: Maximum power point tracking with ripple current orientation for photovoltaic applications. IEEE J. Emerg. Sel. Top. Power Electron. 2(4), 842-848 (2014) https://doi.org/10.1109/JESTPE.2014.2328577
  3. Kamarzaman, N.A., Tan, C.W.: A comprehensive review of maximum power point tracking algorithms for photovoltaic systems. Renew. Sustain. Energy Rev. 37, 585-598 (2014) https://doi.org/10.1016/j.rser.2014.05.045
  4. Weng, F., Zhu, T., Zhuo, F., Yi, H., Shi, S.: Submodule level distributed maximum power point tracking PV optimizer with an integrated architecture. J. Power Electron. 17(5), 1308-1316 (2017) https://doi.org/10.6113/JPE.2017.17.5.1308
  5. Hishikawa, Y., Doi, T., Higa, M., Yamagoe, K., Ohshima, H.: Precise outdoor PV module performance characterization under unstable irradiance. IEEE J. Photovolt. 6(5), 1221-1227 (2016) https://doi.org/10.1109/JPHOTOV.2016.2571620
  6. Ayop, R., Tan, C.W.: Rapid prototyping of photovoltaic emulator using buck converter based on fast convergence resistance feedback method. IEEE Trans. Power Electron. 34(9), 8715-8723 (2019) https://doi.org/10.1109/tpel.2018.2886927
  7. Chang, C.-H., Chang, E.-C., Cheng, H.-L.: A high-efficiency solar array simulator implemented by an LLC resonant DC-DC converter. IEEE Trans. Power Electron. 28(6), 3039-3046 (2013) https://doi.org/10.1109/TPEL.2012.2205273
  8. Koran, A., Labella, T., Lai, J.S.: High efficiency photovoltaic source simulator with fast response time for solar power conditioning systems evaluation. IEEE Trans. Power Electron. 29(3), 1285-1297 (2014) https://doi.org/10.1109/TPEL.2013.2262297
  9. Cupertino, A.F., Pereira, H.A., Mendes, V.F.: Modeling, design, and control of a solar array simulator based on two-stage converters. J Control Automat. Elect. Syst. 28(5), 585-596 (2017) https://doi.org/10.1007/s40313-017-0333-z
  10. Ayop, R., Tan, C.W.: Improved control strategy for photovoltaic emulator using resistance comparison method and binary search method. Sol. Energy 153, 83-95 (2017) https://doi.org/10.1016/j.solener.2017.05.043
  11. Beser, E.: Design and application of a photovoltaic array simulator with partial shading capability. J. Power Electron. 19(5), 1259-1269 (2019) https://doi.org/10.6113/jpe.2019.19.5.1259
  12. Mai, X.H., Kwak, S., Jung, J., Kim, K.A.: Comprehensive electric-thermal photovoltaic modeling for power-hardware-in-the-loop simulation (PHILS) applications. IEEE Trans. Ind. Electron. 64(8), 6255-6264 (2017) https://doi.org/10.1109/TIE.2017.2682039
  13. Qin, S., Kim, K.A., Pilawa-Podgurski, R.C.N.: Laboratory emulation of a photovoltaic module for controllable insolation and realistic dynamic performance. In: 2013 IEEE Power and Energy Conference at Illinois (PECI), Champaign, IL, pp. 23-29 (2013)
  14. Villalva, M.G., Gazoli, J.R., Filho, E.R.: Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans. Power Electron. 24(5), 1198-1208 (2009) https://doi.org/10.1109/TPEL.2009.2013862
  15. Shenoy, P.S., Kim, K.A., Johnson, B.B., Krein, P.T.: Differential power processing for increased energy production and reliability of photovoltaic systems. IEEE Trans. Power Electron. 28(6), 2968-2979 (2013) https://doi.org/10.1109/TPEL.2012.2211082
  16. Chu, G., Wen, H., Jiang, L., Hu, Y., Li, X.: Bidirectional flyback based isolated-port submodule differential power processing optimizer for photovoltaic applications. Sol. Energy 158, 929-940 (2017) https://doi.org/10.1016/j.solener.2017.10.053
  17. Jeon, Y., Kim, K., Park, J.: Differential power processing system for the capacitor voltage balancing of cost-effective photovoltaic multi-level inverters. J. Power Electron. 17(4), 1037-1047 (2017) https://doi.org/10.6113/JPE.2017.17.4.1037
  18. Liao, C., Lin, W., Chen, Y., Chou, C.: A PV micro-inverter with PV current decoupling strategy. IEEE Trans. Power Electron. 32(8), 6544-6557 (2017) https://doi.org/10.1109/TPEL.2016.2616371