A Linear Regression Based Resilient Optimal Operation of AC Microgrids

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

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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 publicationProceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
PublisherIEEE
Publication date2020
Pages260-265
ISBN (Print)9781728169897
DOIs
Publication statusPublished - 2020
EventIEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia
Duration: 28 Sep 20201 Oct 2020

Conference

ConferenceIEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
LocationVirtual event
CountryCroatia
CityDubrovnik
Period28/09/202001/10/2020
Series2020 Ieee 11th International Symposium on Power Electronics for Distributed Generation Systems (pedg)
ISSN2329-5767

Keywords

  • AC microgrids
  • Cyber security
  • Data integrity attacks
  • Cyber attacks
  • Economic load dispatch

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