Next Article in Journal
A New Algorithm for the Common Solutions of a Generalized Variational Inequality System and a Nonlinear Operator Equation in Banach Spaces
Next Article in Special Issue
Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications
Previous Article in Journal
Variational Inference over Nonstationary Data Streams for Exponential Family Models
Article

Discrete Predictive Models for Stability Analysis of Power Supply Systems

V.A. Trapeznikov Institute of Control Sciences, 65, Profsoyuznaya, 117997 Moscow, Russia
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(11), 1943; https://doi.org/10.3390/math8111943
Received: 3 August 2020 / Revised: 15 October 2020 / Accepted: 26 October 2020 / Published: 3 November 2020
(This article belongs to the Special Issue Numerical Simulation and Control in Energy Systems)
The paper offers an approach to the investigation of the dynamics of nonlinear non-stationary processes with the focus on the risk of dynamic system stability loss. The risk is assessed on the basis of the accumulated knowledge about power supply system operation. New methods for power supply modes analysis are developed and applied as follows: linear discrete point knowledge-based models are developed for nonlinear non-stationary objects; wavelet analysis is used for non-stationary processes; stability loss risks are analyzed through the investigation of spectral decompositions of Gramians of these linear predictive models. Case studies are included. View Full-Text
Keywords: process identification; knowledgebase; associative search models; wavelet analysis; Gramian method process identification; knowledgebase; associative search models; wavelet analysis; Gramian method
Show Figures

Figure 1

MDPI and ACS Style

Bakhtadze, N.; Yadikin, I. Discrete Predictive Models for Stability Analysis of Power Supply Systems. Mathematics 2020, 8, 1943. https://doi.org/10.3390/math8111943

AMA Style

Bakhtadze N, Yadikin I. Discrete Predictive Models for Stability Analysis of Power Supply Systems. Mathematics. 2020; 8(11):1943. https://doi.org/10.3390/math8111943

Chicago/Turabian Style

Bakhtadze, Natalia, and Igor Yadikin. 2020. "Discrete Predictive Models for Stability Analysis of Power Supply Systems" Mathematics 8, no. 11: 1943. https://doi.org/10.3390/math8111943

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop