Load Frequency Control for Electric Vehicle Battery System under Mixed Attack Based on Stochastic Event-triggered Mechanism

In this paper, a mode of load frequency control system with electric vehicles is firstly constructed. Then, for simulating the real information transmission environment, random Deception attacks and aperiodical Denial of Service(DoS) attacks are considered. A resilient stochastic event-triggering mechanism(RSETM) is proposed to save network resources. Finally, the closed-loop switching system model is constructed via the previous analytical work. On this basis, the power system’s exponential stability and performance are investigated by the Lyapunov functional. The numerical examples verify the accuracy of the proposed mechanism.

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Publication Details

Journal
Advances in Engineering Technology Research
Published
2024-11-28
DOI
https://doi.org/10.56028/aetr.12.1.439.2024
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Load Frequency Control for Electric Vehicle Battery System under Mixed Attack Based on Stochastic Event-triggered Mechanism

D. Deng
Advances in Engineering Technology Research
Advanced Battery Technologies Research
article

Load Frequency Control for Electric Vehicle Battery System under Mixed Attack Based on Stochastic Event-triggered Mechanism

D. Deng
article en

Abstract

In this paper, a mode of load frequency control system with electric vehicles is firstly constructed. Then, for simulating the real information transmission environment, random Deception attacks and aperiodical Denial of Service(DoS) attacks are considered. A resilient stochastic event-triggering mechanism(RSETM) is proposed to save network resources. Finally, the closed-loop switching system model is constructed via the previous analytical work. On this basis, the power system’s exponential stability and performance are investigated by the Lyapunov functional. The numerical examples verify the accuracy of the proposed mechanism.

Advances in Engineering Technology ResearchVol. 12(1)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
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