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A Blockchain Based Methodology for Power Grid Control Systems

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Proceedings of the ICR’22 International Conference on Innovations in Computing Research (ICR 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1431))

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Abstract

The increasing shift towards renewable energy has increased the complexity of power grid systems. Generally, power management is done through a centralized control architecture where a single entity governs the entire network. Centralized architecture is simple to manage but is not fault tolerant. If the centralized entity fails, the entire system will be impaired. Despite decentralized architecture’s tolerance to the single point of failure, it highly affects the system’s efficiency. A fragmented decentralized power grid lacks sufficient knowledge for optimal load distribution. In this study, we suggest the use of a distributed blockchain-based approach for power grid management. This novel approach overcomes both centralized and decentralized architectures’ vulnerabilities. It offers a solution to the centralized dependent single point of failure while maintaining a secure data flow across the grid for optimal performance.

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Author information

Authors and Affiliations

  1. CEA, LIST, 91120, Palaiseau, France

    Rouwaida Abdallah

  2. Normandie Univ., UNILEHAVRE, LITIS, SFlog, 76600, Le Havre, France

    Rim Abdallah

  3. HAROPA PORT, 71 Quai Colbert, 76600, Le Havre, France

    Rim Abdallah

Authors
  1. Rouwaida Abdallah
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  2. Rim Abdallah
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Corresponding author

Correspondence to Rouwaida Abdallah .

Editor information

Editors and Affiliations

  1. University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Kent Institute Australia, Sydney, NSW, Australia

    Abeer Al Sadoon

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Abdallah, R., Abdallah, R. (2022). A Blockchain Based Methodology for Power Grid Control Systems. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_40

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