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Forecasting the Risks of Stability Loss for Nonlinear Supply Energy Systems1This 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. Issue 1 (2021)
Record Type:
Journal Article
Title:
Forecasting the Risks of Stability Loss for Nonlinear Supply Energy Systems1This 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. Issue 1 (2021)
Main Title:
Forecasting the Risks of Stability Loss for Nonlinear Supply Energy Systems1This 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
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.