Experimental Validation of Cyberattack Detector for Battery Energy Storage-based Virtual Power Plant

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

Abstract

The fluctuating availability of renewable energy sources might necessitate a greater incorporation of battery energy storage systems (BESSs) within the electrical grid. These BESSs serve multiple purposes, including frequency regulation and backup support. In tandem, the utilization of internet-of-things (IoT) enabled technologies is progressively expanding in the realm of BESS. Nonetheless, the absence of specific regulations on the integration of IoT in BESS design and operation may escalate the vulnerability of utility-scale batteries to potential cyberattacks. Combining Adaptive Boosting and Hidden Moving Target Defense (MTD) techniques originating in the smart grid domain, the cyberattack detection and mitigation algorithm was developed. To validate its performance in the case study, a set of experiments was conducted. Leveraging an experimental dataset comprising a group of independently controlled BESSs, the study evaluates the functionality and effectiveness of the proposed methodology. Operating within the context of a Virtual Power Plant (VPP), the algorithm adeptly manages the VPP setpoints and dynamically regulates the power injection of each BESS into the grid. This comprehensive investigation provides crucial insights into bolstering the resilience of BESSs against the evolving landscape of cyber threats, thereby ensuring the secure and uninterrupted operation of these vital energy infrastructure components.
Original languageEnglish
Title of host publication2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH)
Number of pages5
PublisherIEEE
Publication date2024
ISBN (Electronic)979-8-3503-2994-0
DOIs
Publication statusPublished - 2024
Event23rd International Symposium INFOTEH-JAHORINA 2024 - East Sarajevo, Bosnia and Herzegovina
Duration: 20 Mar 202422 Mar 2024
Conference number: 23

Conference

Conference23rd International Symposium INFOTEH-JAHORINA 2024
Number23
Country/TerritoryBosnia and Herzegovina
CityEast Sarajevo
Period20/03/202422/03/2024
Series2024 23rd International Symposium Infoteh-jahorina (infoteh)
ISSN2767-9470

Keywords

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

Fingerprint

Dive into the research topics of 'Experimental Validation of Cyberattack Detector for Battery Energy Storage-based Virtual Power Plant'. Together they form a unique fingerprint.

Cite this