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作 者:Xing Huang Yulin Chen Donglian Qi Yunfeng Yan Shaohua Yang Ying Weng Xianbo Wang
机构地区:[1]College of Electrical Engineering,Zhejiang University,Hangzhou 310027,PR China [2]Hainan Institute of Zhejiang University,Sanya 572000,PR China [3]State Key Laboratory of Internet of Things for Smart City,University of Macao,999078,Macao Special Administrative Region of China
出 处:《Global Energy Interconnection》2025年第1期1-12,共12页全球能源互联网(英文版)
基 金:supported by Hainan Provincial Natural Science Foundation of China(No.524RC532);Research Startup Funding from Hainan Institute of Zhejiang University(No.0210-6602-A12202);Project of Sanya Yazhou Bay Science and Technology City(No.SKJC-2022-PTDX-009/010/011).
摘 要:Given the rapid development of advanced information systems,microgrids(MGs)suffer from more potential attacks that affect their operational performance.Conventional distributed secondary control with a small,fixed sampling time period inevitably causes the wasteful use of communication resources.This paper proposes a self-triggered secondary control scheme under perturbations from false data injection(FDI)attacks.We designed a linear clock for each DG to trigger its controller at aperiodic and intermittent instants.Sub-sequently,a hash-based defense mechanism(HDM)is designed for detecting and eliminating malicious data infiltrated in the MGs.With the aid of HDM,a self-triggered control scheme achieves the secondary control objectives even in the presence of FDI attacks.Rigorous theoretical analyses and simulation results indicate that the introduced secondary control scheme significantly reduces communication costs and enhances the resilience of MGs under FDI attacks.
关 键 词:MICROGRIDS Distributed secondary control Self-triggered control Hash algorithms False data injection attack
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