A New Active Islanding Detection Technique Using Superimposed Power Angle Disturbance of IBDER

  • Harikrishna MudaEmail author
  • Premalata Jena
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 665)


In this paper, a new active islanding detection technique (AIDT) based on superimposed positive-sequence (p-s) power angle disturbance is proposed. The injection of disturbance signal leads to a superimposed positive-sequence phase angle (SPPA) deviation at the inverter-based distributed energy resource (IBDER) terminal during islanding event. It is found that the variation in SPPA is capable of detecting unintentional islanding conditions. Since the sequence elements of voltage and currents during islanding event are different from that of a pre-islanding event, superimposed elements are derived at the IBDER terminal. Furthermore, the proposed technique is capable of identifying nonislanding events such as voltage sag, three-phase faults, load switching, and capacitor switching. The proposed technique along with the control schemes of IBDER units is developed using real-time digital simulator (RTDS). The performance of the proposed technique is compared with the conventional techniques. The detection time for the proposed method is within the specified range in IEEE Std. 1547, and is around 20 ms.


Active islanding detection technique Distributed energy resources Phase angle Superimposed positive-sequence elements 


  1. 1.
    Ku Ahmad, K.N.E., Selvaraj, J., Rahim, N.A.: A review of the islanding detection methods in grid-connected PV inverters. Renew. Sustain. Energy Rev. 21, 756–766 (2013)CrossRefGoogle Scholar
  2. 2.
    Trujillo, L.C., Velasco, D., Figueres, E., Garcerá, G.: Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing. Appl. Energy 87, 3591–3605 (2010)CrossRefGoogle Scholar
  3. 3.
    Li, C., Cao, C., Cao, Y., Kuang, Y., Zeng, L., Fang, B.: A review of islanding detection methods for microgrid. Renew. Sustain. Energy Rev. 35, 211–220 (2014)CrossRefGoogle Scholar
  4. 4.
    IEEE Standards Coordinating Committee 21: IEEE Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems. IEEE Std 1547.4-2011, pp. 1–54 (2011)Google Scholar
  5. 5.
    Yu, B., Matsui, M., So, J., Yu, G.: A high power quality anti-islanding method using effective power variation. Sol. Energy 82(4), 368–378 (2008)CrossRefGoogle Scholar
  6. 6.
    Hung, G.K., Chang, C.C., Chen, C.L.: Automatic phase-shift method for islanding detection of grid-connected photovoltaic inverters. IEEE Trans. Energy Convers. 18(1), 169–173 (2003)CrossRefGoogle Scholar
  7. 7.
    Zeineldin, H.H., Salama, M.M.A.: Impact of load frequency dependence on the NDZ and performance of the SFS islanding detection method. Ind. Electron. IEEE Trans. 58(1), 139–146 (2011)CrossRefGoogle Scholar
  8. 8.
    Ropp, E.M., Begovic, M., Rohatgi, A.: Analysis and performance assessment of the active frequency drift method of islanding prevention. IEEE Trans. Energy Convers. 14 (1999)Google Scholar
  9. 9.
    Lopes, L.A.C., Sun, H.: Performance assessment of active frequency drifting islanding detection methods. IEEE Trans. Energy Convers. 21(1), 171–180 (2006)CrossRefGoogle Scholar
  10. 10.
    Al Hosani, M., Qu, Z., Zeineldin, H.H.: Scheduled perturbation to reduce nondetection zone for low gain sandia frequency shift method. IEEE Trans. Smart Grid 6(6), 3095–3103 (2015)CrossRefGoogle Scholar
  11. 11.
    Zhang, J., Xu, D., Shen, G., Zhu, Y., He, N., Ma, J.: An improved islanding detection method for a grid-connected inverter with intermittent bilateral reactive power variation. IEEE Trans. Power Electron. 28, 268–278 (2013)CrossRefGoogle Scholar
  12. 12.
    Asiminoaei, L., Teodorescu, R., Blaabjerg, F., Borup, U.: A digital controlled PV-inverter with grid impedance estimation for ENS detection. IEEE Trans. Power Electron. 20(6), 1480–1490 (2005)CrossRefGoogle Scholar
  13. 13.
    Wrinch, M., Martí, J., Nagpal, M.: Negative sequence impedance based islanding detection for distributed generation (NSIID). In: 2008 IEEE Electrical Power and Energy Conference—Energy Innovation, pp. 1–6 (2002)Google Scholar
  14. 14.
    Ye, Z., Kolwalkar, A., Zhang, Y., Du, P., Walling, R.: Evaluation of anti-islanding schemes based on nondetection zone concept. IEEE Trans. Power Electron. 19(5), 1171–1176 (2004)CrossRefGoogle Scholar
  15. 15.
    Wieserman, L., Mcdermott, T.E.: Fault current and overvoltage calculations for inverter-based generation using symmetrical components. In: IEEE Energy Conversion Congress and Exposition, pp. 2619–2624 (2014)Google Scholar
  16. 16.
    Blackburn, J.L.: Symmetrical Components for Power Systems Engineering. CRC Press (1993)Google Scholar
  17. 17.
    Liu, N., Aljankaway, A., Diduch, C., Chang, L., Su, J.: Passive islanding detection approach based on tracking the frequency dependent impedance change. In: IEEE International Symposium on Power Electrical for DG Systems (PEDG), pp. 364–367 (2012)Google Scholar
  18. 18.
    IEEE SA—1547.6-2011—IEEE Recommended practice for interconnecting distributed resources with electric power systems distribution secondary networks (2014)Google Scholar
  19. 19.
    Muda, H., Jena, P.: Rate of change of superimposed negative sequence impedance based islanding detection technique for distributed generations. IET Gener. Transm. Distrib. 10(13), 3170–3182 (2016)CrossRefGoogle Scholar
  20. 20.
    Garmrudi, M., Nafisi, H., Fereidouni, A., Hashemi, H.: A novel hybrid islanding detection technique using rate of voltage change and capacitor tap switching. Electr. Power Compon. Syst. 40(10), 1149–1159 (2012)CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.National Institute of Advanced StudiesIISc BangaloreBangaloreIndia
  2. 2.Indian Institute of Technology RoorkeeRoorkeeIndia

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