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Observer-based dynamic event-triggered [formula omitted] LFC for power systems under actuator saturation and deception attack.
- Source :
-
Applied Mathematics & Computation . May2022, Vol. 420, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- • A unified dynamic driven and observer-based security LFC framework is established for power systems in which the time delays and actuator saturation are considered simultaneously. While, in many existing studies [24,35], only partly conditions were considered. Different from [25,36], the actuator saturation is also considered in this paper. • A novel DETM is proposed by introducing the internal variable η (t) (t) and additional exponential term to reduce the pressure of data transmission. Compared with [17,23,41], we introduce an additional exponential term to further improve the communication bandwidth utilization.Moreover, the Zeno behavior is avoided naturally. • The observer-based resilient control strategy and stochastic Lyapunov stability theory are developed such that the LFC systems are mean-square exponential stable. Finally, the simulations are given to prove the usefulness of the proposed method. This paper focuses on the observer-based H ∞ load frequency control (LFC) of multi-area power systems with actuator saturation and deception attack. Firstly, a state observer is constructed to estimate the unmeasurable states and a time-delay model with the area control error is established. Secondly, a dynamic event triggering mechanism is developed, where dynamic parameter and a novel error-related exponential term are introduced to reduce the communication burden further in the network. Thirdly, considering time delays, data-packet losses and stochastic deception attack, a resilient LFC controller of power systems based on actuator saturation is designed and the security of the system is guaranteed with the condition of H ∞ mean-square exponential stability. Sufficient conditions to co-design the event-triggered scheme, observer and desired controller gain are derived by Lyapunov functional analysis approach. Finally, simulation example is given to demonstrate the efficiency of the developed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 420
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 154947170
- Full Text :
- https://doi.org/10.1016/j.amc.2021.126896