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Data-Driven Cyber-Resilient Control of Wide Area Power Systems

  • Yasin Asadi
  • , Malihe Maghfoori Farsangi
  • , Ali Moradi Amani
  • , Hassan Haes Alhelou
  • , Seyed Mehran Dibaji
  • , Ehsan Bijami

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

With the uptake of advanced communication technologies, monitoring and operation of power systems have been experiencing a paradigm shift. Many centralized algorithms can now be implemented in a distributed scheme. For example, local decisions can make faster actions resulting in a resilient power grid. Despite these advantages, these communication networks have made power networks vulnerable to cyber-attacks. Therefore, only attack-resilient algorithms can be reliably implemented using these technologies. In this chapter, a Data-Driven Cyber-Resilient Control (DDCRC) method is proposed for the frequency stability of wide area power grids. In the proposed method, the automatic generation control signals are generated without using a predefined model such that the frequency stability of the power system in the presence of Deception Attacks (DA) is guaranteed. Simulation results on a three-area power grid show the efficiency and superiority of the proposed method.

Original languageEnglish
Title of host publicationPower Systems Cybersecurity
EditorsHassan Haes Alhelou, Nikos Hatziargyriou, Zhao Yang Dong
Place of PublicationCham Switzerland
PublisherSpringer
Chapter7
Pages161-178
Number of pages18
Edition1st
ISBN (Electronic)9783031203602
ISBN (Print)9783031203596
DOIs
Publication statusPublished - 2023

Publication series

NamePower Systems
PublisherSpringer
ISSN (Print)1612-1287
ISSN (Electronic)1860-4676

Keywords

  • Automatic generation control
  • Data driven control
  • Deception attack

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