AdaBoost-Based Cyberattack Detection Algorithm for Battery Systems Providing Frequency Regulation

Nina Kharlamova, Chresten Træholt, Seyedmostafa Hashemi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The intermittent nature of renewable energy sources may require the integration of an increasing amount of battery energy storage systems (BESSs) in the electrical grid. A BESS can provide multiple services such as frequency regulation and backup. Simultaneously, internet-of-things (IoT) enabled technologies are increasingly being applied in the BESS domain. IoT integration is not supported by any specific regulations with respect to BESS design and operation, which can increase the vulnerability of utility-scale batteries to cyberattacks. Cyberattacks can compromise the ability of BESSs to provide an adequate and reliable response to the system's demand. This paper presents a machine-learning-based algorithm for cyberattack detection that can decrease the vulnerability of a BESS to cyber threats. It utilizes Adaptive Boosting to forecast the state of charge and detect potentially corrupted data. Moreover, this paper presents mathematical models of cyberattacks than can be applied against a BESS, providing frequency regulation. The benefits of applying the novel cyberattack detection algorithm are demonstrated in the example of the simulated dataset. The dataset is generated based on parameters of the largest grid-connected BESS in Denmark as well as real frequency data of the Nordic Region.
Original languageEnglish
Title of host publicationProceedings of 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
Number of pages5
PublisherIEEE
Publication date2023
ISBN (Electronic)979-8-3503-2475-4
DOIs
Publication statusPublished - 2023
Event2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems - Shanghai, China
Duration: 26 Jul 202328 Jul 2023
Conference number: 3

Conference

Conference2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems
Number3
Country/TerritoryChina
CityShanghai
Period26/07/202328/07/2023

Keywords

  • AdaBoost
  • Artificial intelligence
  • Battery energy storage system
  • Battery state estimation

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