A Linear Regression Based Resilient Optimal Operation of AC Microgrids

Subham Sahoo*, Rubi Rana, Marta Molinas, Frede Blaabjerg, Tomislav Dragicevic, Sukumar Mishra

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
40 Downloads (Pure)

Abstract

This paper investigates the impact of data integrity attacks (DIAs) on cooperative economic dispatch of distributed generators (DGs) in autonomous AC microgrids. To establish resiliency against such attacks and ensure optimal operation, a linear regression based control update is designed in this paper. To improve the robustness against multiple points of intrusion, the design of the resilient control update involves local measurements. As a result, any maloperation due to DIA is prevented from being propagated to the neighboring nodes. The proposed strategy acts immediately upon detection of data integrity attack to ensure maximization in the economic profit.
Original languageEnglish
Title of host publication2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
Number of pages6
PublisherIEEE
Publication date9 Nov 2020
Pages260-265
Article number9244379
ISBN (Electronic)9781728169903
DOIs
Publication statusPublished - 9 Nov 2020
Event2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - Dubrovnik, Croatia
Duration: 28 Sept 20201 Oct 2020

Conference

Conference2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
Country/TerritoryCroatia
CityDubrovnik
Period28/09/202001/10/2020
Series2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Keywords

  • AC Microgrids
  • Optimal Control
  • Linear Regression
  • Economic Load Dispatch
  • Cybersecurity
  • Cyber Attacks
  • Cyber Physical Systems
  • Microgrids

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