LAPSE:2023.22882
Published Article
LAPSE:2023.22882
An Improved Stability Criterion for Load Frequency Control of Power Systems with Time-Varying Delays
Bi-Ying Chen, Xing-Chen Shangguan, Li Jin, Dan-Yun Li
March 24, 2023
Abstract
This paper aims at developing a novel stability criterion to access the influence of the time-varying delay on the stability of power systems equipped with a proportional-integral (PI)-based load frequency control (LFC). The model of the LFC scheme considering time-varying communication delays is established at first. Then, an improved stability condition related to the information of delay bounds is deduced by constructing an augmented Lyapunov−Krasovski functional and using a matrix inequality, and it is expressed as linear matrix inequalities (LMIs) for easily checking. Finally, case studies for one-area and two-area LFC systems are carried out to show the relationship between delay margins ensuring the stability and the PI gains of the LFC, and also verify the superiority of proposed stability criterion compared with the previous ones.
Keywords
load frequency control, power systems, stability analysis, time-varying delay
Suggested Citation
Chen BY, Shangguan XC, Jin L, Li DY. An Improved Stability Criterion for Load Frequency Control of Power Systems with Time-Varying Delays. (2023). LAPSE:2023.22882
Author Affiliations
Chen BY: School of Automation, China University of Geosciences, Wuhan 430074, China; The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Shangguan XC: School of Automation, China University of Geosciences, Wuhan 430074, China; The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China [ORCID]
Jin L: School of Automation, China University of Geosciences, Wuhan 430074, China; The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Li DY: School of Automation, China University of Geosciences, Wuhan 430074, China; The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Journal Name
Energies
Volume
13
Issue
8
Article Number
E2101
Year
2020
Publication Date
2020-04-23
ISSN
1996-1073
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PII: en13082101, Publication Type: Journal Article
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