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A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults

  • Zhijian Hu
  • , Renjie Ma
  • , Bohui Wang
  • , Yulong Huang
  • , Rong Su
  • Nanyang Technological University
  • Harbin Institute of Technology
  • Harbin Engineering University

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

While the Internet of Things (IoT) structure is capable to facilitate the distributed load frequency control (DLFC), the open-air sensors and the intrinsically open communication networks are inevitably vulnerable to uncertain environments. This work endeavors to present a general resiliency enhancement framework for DLFC considering the IoT faults. Multiple fault sources are incorporated, including the intermittent measurements caused by sensor aging, the communication network failures caused by cyberattacks, etc. The framework is equipped with two resilient layers. The first resilient layer focuses on the offline robust DLFC design, in which we consider the intermittent measurements from sensors in system modeling. The second resilient layer concerns the online cyberattack detection, which can further tolerant the incomplete modeling issues of the first resilient layer. Simulation results verify the efficacy of the presented resilient framework.

Original languageEnglish
Pages (from-to)10695-10705
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume20
Issue number9
DOIs
StatePublished - 2024

Keywords

  • Fault diagnosis
  • Internet of Things (IoT)
  • fault tolerant control
  • load frequency control

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