Robust stabilization of time-delayed electric vehicle aggregator via exponential Lyapunov Krasovskii functional

IF 4.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-02-01 Epub Date: 2024-12-20 DOI:10.1016/j.jfranklin.2024.107476
Khashayar Torabi-Farsani , Maryam Dehghani , Roozbeh Abolpour
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Abstract

The exponential stability of time-varying delayed linear systems under uncertainty is the subject of this paper. A low-conservative approach for stabilizing an electric vehicle (EV) aggregator is described with the use of a novel Lyapunov–Krasovskii Functional (LKF) with an exponential term. The present paper considers the state space model of the system as a polytopic model, and integrates this approach with free-weighting auxiliary matrices to yield an exact allowable delay upper bound (ADUB). The Lyapunov theory is used to prove system stability without any limitation on the maximum upper bound of delay derivative in the presence of a time-varying delay and uncertain participation factors. A load frequency control (LFC) system with EV aggregators is introduced to illustrate the performance of the proposed method. Various scenarios are conducted to illustrate the superiority of the proposed approach over previous methods. The results indicate that the proposed approach calculates a larger ADUB than the state-of-the-art techniques for both the nominal and uncertain power systems cases.
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基于指数Lyapunov - Krasovskii泛函的时滞电动汽车聚合器鲁棒镇定
本文研究不确定条件下时变时滞线性系统的指数稳定性问题。利用一种具有指数项的新颖Lyapunov-Krasovskii泛函(LKF),描述了一种稳定电动汽车(EV)聚合器的低保守方法。本文将系统的状态空间模型视为一个多面体模型,并将该方法与自由加权辅助矩阵相结合,得到了一个精确的允许延迟上界(ADUB)。利用李雅普诺夫理论证明了系统在存在时变时滞和不确定参与因素时,对时滞导数的最大上界没有任何限制的稳定性。最后以EV聚合器负载频率控制(LFC)系统为例说明了该方法的性能。通过各种场景来说明所提出的方法优于以前的方法。结果表明,对于标称和不确定的电力系统情况,所提出的方法计算出的ADUB都比目前最先进的技术要大。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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