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Research on robust adaptive control of strong nonlinear complex large power grids.

Authors :
Huang X
Chen Y
Zhang Y
Wang P
Huang W
Source :
PloS one [PLoS One] 2024 Jun 14; Vol. 19 (6), pp. e0300099. Date of Electronic Publication: 2024 Jun 14 (Print Publication: 2024).
Publication Year :
2024

Abstract

In this paper, a Multi-Index Nonlinear Robust Adaptive Control (MINRAC) method was proposed for ultra-complex multi-input multi-output power systems with uncertain parameter factors and external disturbances. The controller designed by this method has excellent static and dynamic characteristics. Under the condition of the uncertainty of system parameters and external disturbance at the same time, the MINRAC method can ensure that the multiple indexes concerned by ultra-complex power systems can be controlled at their expected values. The simulation results showed that the control mechanism of MINRAC method was consistent in both single-machine infinite bus system and multi-machine interconnected coupling system. The output function chooses power angle, angular frequency and terminal voltage as constraints. When the system has parameter uncertainty and external interference, the uncertain parameter values are adjusted by adaptive control to force these indicators to tend to the given expected value. For three-phase short circuit, which is the most serious fault in power system, the use of multi index nonlinear robust controller can ensure that the system is stable in a wide range and has better dynamic performance.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2024 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1932-6203
Volume :
19
Issue :
6
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
38875226
Full Text :
https://doi.org/10.1371/journal.pone.0300099