Forecasting the risks of stability loss for nonlinear supply energy systems

N. Bakhtadze; I. Yadykin; E. Maximov; N. Maximova; A. Chereshko; Y. Vershinin

doi:10.1016/j.ifacol.2021.08.055

Forecasting the risks of stability loss for nonlinear supply energy systems

N. Bakhtadze, I. Yadykin, E. Maximov, N. Maximova, A. Chereshko, Y. Vershinin

Russian Academy of Sciences

Research output: Contribution to journal › Conference article › peer-review

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Abstract

The paper presents methods for studying the dynamics of nonlinear processes in relation to assessing the risks of stability loss on the basis of accumulated knowledge about the operation of power supply systems and methods for analyzing power supply modes. The methods are a complex of linear point discrete predictive identification models for a wide class of nonlinear objects, as well as spectral decompositions of Gramians for linear models.

Original language	English
Pages (from-to)	478-483
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	54
Issue number	1
Early online date	9 Nov 2021
DOIs	https://doi.org/10.1016/j.ifacol.2021.08.055
Publication status	Published - 2021
Event	17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021 - Budapest, Hungary Duration: 7 Jun 2021 → 9 Jun 2021

Bibliographical note

Funding Information:
1 This work was supported by the Russian Science Foundation, project no. 19-19-00673 and by Russian Foundation for Basic Research, project no. 21-57-53005.

Publisher Copyright:
© 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

Keywords

Associative search models
Gramian method
Knowledge base
Process identification

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1016/j.ifacol.2021.08.055Licence: CC BY-NC-ND

Bakhtadze_et_al_Forecasting_Risks_Stability_LossFinal published version, 0.99 MBLicence: CC BY-NC-ND

Cite this

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AU - Yadykin, I.

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AU - Chereshko, A.

AU - Vershinin, Y.

N1 - Funding Information: 1 This work was supported by the Russian Science Foundation, project no. 19-19-00673 and by Russian Foundation for Basic Research, project no. 21-57-53005. Publisher Copyright: © 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

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KW - Knowledge base

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Forecasting the risks of stability loss for nonlinear supply energy systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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