Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Novel disturbance and observation based active islanding detection for three-phase grid-connected inverters

  • Kaewthai, Sittichai (Department of Electronic and Telecommunication Engineering, King Mongkut's University of Technology) ;
  • Ekkaravarodome, Chainarin (APEx Lab, Department of Instrumentation and Electronics Engineering, King Mongkut's University of Technology) ;
  • Jirasereeamornkul, Kamon (Department of Electronic and Telecommunication Engineering, King Mongkut's University of Technology)
  • Received : 2020.05.21
  • Accepted : 2020.12.02
  • Published : 2021.02.20
⟨ Previous Next ⟩

Abstract

In this paper, a simplified active islanding detection method based on a power control disturbance signal for a three-phase grid-connected inverter application is presented. The disturbance and observation method is used to simplify the significant indicator, which determines the islanding condition. The control algorithm, which is used to command the observation and disturbance method, is derived from a three-phase grid-connected inverter. The power is easily transferred to the grid by converting it to direct current (DC) and commanding it on the rotating reference frame. The d-axis current command represents the active power, and the q-axis current command represents the reactive power. The power disturbance signal is performed by d-axis harmonic current injection. At the transforming point of common coupling (PCC), the DC component of the harmonic voltage signal can be easily observed by applying a Park transform. The IEEE Std. 1547 is applied to qualify the power-quality guarantee and anti-islanding test requirements. The validity of this approach was confirmed by simulation and experimental results.

Keywords

Acknowledgement

This work was supported in part by the National Research Council of Thailand (NRCT) and the King Mongkut's University of Technology North Bangkok under Grant KMUTNB-GOV-60-007.

References

  1. Kanchev, H., Lu, D., Colas, F., Lazarov, V., Francois, B.: Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications. IEEE Trans. Industr. Electron. 58(10), 4583-4592 (2011) https://doi.org/10.1109/TIE.2011.2119451
  2. Avelar, H.J., Parreira, W.A., Vieira, J.B., Freitas, L.C.G.D., Coelho, E.A.A.: A state equation model of a single-phase grid-connected inverter using a droop control scheme with extra phase shift control action. IEEE Trans. Ind. Electron. 59(3), 1527-1537 (2012) https://doi.org/10.1109/TIE.2011.2163372
  3. Zhoing, Q., Hornik, T.: Control of power inverters in renewable energy and smart grid integration. Chap. 3. Wiley-IEEE Press (2012)
  4. Cagnano, A., Tuglie, E.D., Liserre, M., Mastromauro, R.A.: Online optimal reactive power control strategy of PV inverters. IEEE Trans. Ind. Electron. 58(10), 4549-4558 (2011) https://doi.org/10.1109/TIE.2011.2116757
  5. Zeineldin, H.H., Kirtley, J.L., Jr.: Performance of the OVP/UVP and OFP/UFP method with voltage and frequency dependent loads. IEEE Trans. Power Deliv. 24(2), 772-778 (2009) https://doi.org/10.1109/TPWRD.2008.2002959
  6. Liu, N., Diduch, C., Chang, L., Su, J.: A reference impedance-based passive islanding detection method for inverter-based distributed generation system. IEEE J. Emerg. Sel. Topics Power Electron. 3(4), 1205-1217 (2015) https://doi.org/10.1109/JESTPE.2015.2457671
  7. Lee, J.-P., Kim, T.-J.: Active frequency with a positive feedback anti-islanding method based on a robust PLL algorithm for grid-connected PV PCS. J. Power Electron. 11(3), 360-368 (2011) https://doi.org/10.6113/JPE.2011.11.3.360
  8. Yafaoui, A., Wu, B., Kouro, S.: Improved active frequency drift anti-islanding detection method for grid connected photovoltaic systems. IEEE Trans. Power Electron. 27(5), 2367-2375 (2012) https://doi.org/10.1109/TPEL.2011.2171997
  9. Guo, Z., Sha, D., Liao, X.: Wireless paralleled control strategy of three-phase inverter modules for islanding distributed generation systems. J. Power Electron. 13(3), 479-486 (2013) https://doi.org/10.6113/JPE.2013.13.3.479
  10. Tedde, M., Smedley, K.: Anti-islanding for three-phase one-cycle control grid tied inverter. IEEE Trans. Power Electron. 29(7), 3330-3345 (2014) https://doi.org/10.1109/TPEL.2013.2278792
  11. Liu, S., Li, Y., Xiang, J., Ji, F.: Islanding detection method based on system identification. IET Power Electron. 9(10), 2095-2102 (2016) https://doi.org/10.1049/iet-pel.2015.0646
  12. Lidozzi, A., Calzo, G.L., Solero, L., Crescimbini, F.: Single-phase inverter for grid-connected and intentional islanding operations in electric utility systems. J. Power Electron. 16(2), 704-716 (2016) https://doi.org/10.6113/JPE.2016.16.2.704
  13. Zheng, X., Xiao, L., Qin, W., Zhang, Q.: A new islanding detection method based on feature recognition technology. J. Power Electron. 16(2), 760-768 (2016) https://doi.org/10.6113/JPE.2016.16.2.760
  14. Cao, D., Wang, Y., Sun, Z., Wang, Y.: Novel islanding detection method for distributed PV systems with multi-inverters. J. Power Electron. 16(3), 1141-1151 (2016) https://doi.org/10.6113/JPE.2016.16.3.1141
  15. Pinto, S.J., Panda, G.: Improved decoupled control and islanding detection of inverter-based distribution in multibus microgrid systems. J. Power Electron. 16(4), 1526-1540 (2016) https://doi.org/10.6113/JPE.2016.16.4.1526
  16. Kim, J.-H., Kim, J.-G., Ji, Y.-H., Jung, Y.-C., Won, C.-Y.: An islanding detection method for a grid-connected system based on the Goertzel algorithm. IEEE Trans. Power Electron. 26(4), 1049-1055 (2011) https://doi.org/10.1109/TPEL.2011.2107751
  17. Lee, Y.-S., Yang, W.-M., Han, B.-M.: Islanding detection method for inverter-based distributed generation through injection of second order harmonic current. J. Power Electron. 18(5), 1513-1522 (2018) https://doi.org/10.6113/JPE.2018.18.5.1513
  18. Mlakic, D., Baghaee, H.R., Nikolovski, S.: A novel ANFIS-based islanding detection for inverter-interfaced microgrids. IEEE Trans. Smart Grid 10(4), 4411-4424 (2019) https://doi.org/10.1109/tsg.2018.2859360
  19. Murugesan, S., Murali, V.: Disturbance injection based decentralized identification of accidental islanding. IEEE Trans. Ind. Electron. 67(5), 3767-3775 (2020) https://doi.org/10.1109/tie.2019.2917361
  20. IEEE 1547-2018-IEEE Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces. IEEE Standard. https://standards.ieee.org/standard/1547-2018.html (2018)
  21. Ned, M., Tore, M.U., William, P.R.: Power Electronics. Wiley Publishing, Hoboken (1995)

Cited by

  1. Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems vol.14, pp.12, 2021, https://doi.org/10.3390/en14123660