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Algebraic Method of Nonparametric Identification of Abnormal Modes of the Power System as a Dynamic MIMO System

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Abstract

An approach is proposed to identify abnormal modes of a power system in real time, using only the data of synchronized vector measurements and that does not require a priori information about the parameters of its mathematical model. The algorithmic base of the method is the algebraic criterion of consistency of the linear matrix equation for the identification of the mathematical model of the power system; it does not imply the solution of parametric identification or prediction problems, does not use statistical calculations, and does not require preliminary training or long-term tuning. The effectiveness of the method is demonstrated by the example of detecting the moment an emergency situation arises in the Omsk power system.

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Authors and Affiliations

  1. AO Center for Engineering and Construction Management, Moscow, Russia

    I. M. Galiaskarov

  2. Bauman Moscow State Technical University, Moscow, Russia

    N. E. Zubov & V. N. Ryabchenko

  3. State Scientific Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia

    E. Yu. Zybin

  4. Moscow Power Engineering Institute (MPEI), National Research University, Moscow, Russia

    V. N. Ryabchenko

Authors
  1. I. M. Galiaskarov
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  2. N. E. Zubov
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  3. E. Yu. Zybin
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  4. V. N. Ryabchenko
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Correspondence to N. E. Zubov.

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Galiaskarov, I.M., Zubov, N.E., Zybin, E.Y. et al. Algebraic Method of Nonparametric Identification of Abnormal Modes of the Power System as a Dynamic MIMO System. J. Comput. Syst. Sci. Int. 59, 845–853 (2020). https://doi.org/10.1134/S1064230720060039

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  • DOI: https://doi.org/10.1134/S1064230720060039

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