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Fault Detection and Isolation of Distributed Inverter-Based Microgrids

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

This paper deals with a fault detection and isolation strategy for microgrids fed by voltage source inverters. To increase the reliability of microgrids, a model-based FDI concept for the detection of line and inverter faults is presented. First, a scalable overall state space model is presented to describe the power flow of a generic micogrid with an arbitrary number of droop controlled inverters. For this purpose, aggregated single inverter models are combined into a multi-inverter model, which is connected to a network of arbitrary topology. It is shown how this model serves as a basis to develop an observer-based FTC algorithm. Finally, simulation studies are carried out for a system with three droop controlled inverters, six network nodes and two load sinks. It will be shown how single network line faults and inverter faults can be detected and partially isolated with the centralized approach.

Keywords

FDI FTC Power systems Micogrid 

References

  1. 1.
    Lasseter, R.H.: Microgrids. In: Proceedings of IEEE Power Engineering Society Winter Meeting, pp. 305–308 (2002)Google Scholar
  2. 2.
    Neacsu, D.O.: Power Switching Converters: Medium and High Power. CRC Press, Boca Raton (2006)Google Scholar
  3. 3.
    Yin, B., Oruganti, R., Panda, S., Bhat, A.: An output-power-control strategy for a three-phase PWM rectifier under unbalanced supply conditions. IEEE Trans. Industr. Electron. 55(5), 2140–2151 (2008)CrossRefGoogle Scholar
  4. 4.
    Song, H., Nam, K.: Dual current control scheme for PWM converter under unbalanced input voltage conditions. IEEE Trans. Ind. Electron. 46(5), 953–959 (1999)CrossRefGoogle Scholar
  5. 5.
    Chandorkar, M.C., Divan, D.M., Adapa, R.: Control of parallel connected inverters in standalone AC supply systems. IEEE Trans. Ind. Appl. 29(1), 136–143 (1993)CrossRefGoogle Scholar
  6. 6.
    Bevrani, H., Watanabe, M., Mitani, Y.: Power System Monitoring and Control. Wiley, Hoboken (2014)CrossRefGoogle Scholar
  7. 7.
    Pietro, C.D., Vasca, F., Iannelli, L., Oliviero, F.: Decentralized synchronization of parallel inverters for train auxiliaries. In: Proceedings of Electrical Systems for Aircraft, Railway and Ship Propulsion, Bologna, Italy (2010)Google Scholar
  8. 8.
    Chandorkar, M., Divan, D., Adapa, R.: Control of parallel connected inverters in standalone ac supply systems. IEEE Trans. Ind. Appl. 29(1), 136–143 (1993)CrossRefGoogle Scholar
  9. 9.
    Jostock, M., Sachau, J., Tuttas, C.: LTI model of arbitrary voltage source inverter driven island grids. at–Automatisierungstechnik 61(12), 818–830 (2013)Google Scholar
  10. 10.
    Jostock, M., Sachau, J., Hadji-Minaglou, J.-R.: Structured analysis of arbitrary island grid. In: IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Copenhagen, Denmark (2013)Google Scholar
  11. 11.
    Zhang, Q., Zhang, X., Polycarpou, M.M., Parisini, T.: Distributed sensor fault detection and isolation for multimachine power systems. Int. J. Robust Nonlinear Control 24 (8–9), 1403–1430 (2014). Special Issue: Fault Tolerant Control of Power GridsGoogle Scholar
  12. 12.
    Wu, Z., Yang, F., Han, Q.-L.: A novel islanding fault detection for distributed generation systems. Int. J. Robust Nonlinear Control 24(8–9), 1431–1445 (2014). Special Issue: Fault Tolerant Control of Power GridsGoogle Scholar
  13. 13.
    Quan, Y., Chen, W., Wu, Z., Peng, L.: Distributed fault detection and isolation for leader-follower multi-agent systems with disturbances using observer techniques. Nonlinear Dyn. 93(2), 863–871 (2018)CrossRefGoogle Scholar
  14. 14.
    Gao, Z., Ding, S.X., Ma, Y.: Robust fault estimation approach and its application in vehicle lateral dynamic systems. Optimal Control Appl. Methods 28, 143–156 (2007)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Engineering I, Control Engineering GroupUniversity of Applied Sciences Berlin (HTW)BerlinGermany

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