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Distributed Finite-Time Cooperative Economic Dispatch Strategy for Smart Grid under DOS Attack

Author

Listed:
  • Zhenghang Song

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Xiang Wang

    (Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Baoze Wei

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Zhengyu Shan

    (Department of Informatics, University of Oslo, 0373 Oslo, Norway)

  • Peiyuan Guan

    (Department of Informatics, University of Oslo, 0373 Oslo, Norway)

Abstract

This paper proposes an energy management strategy that can resist DOS attacks for solving the Economic Dispatch Problem (EDP) of the smart grid. We use the concept of energy agent, which acts as a hub for the smart grid, and each EA is an integrated energy unit that converts, stores, and utilizes its local energy resources. This approach takes into account the coupling relationship between energy agents (EA) and utilizes the Lyapunov function technique to achieve finite-time solutions for optimization problems. We incorporate strategies to resist DOS attacks when analyzing finite-time convergence using the Lyapunov technique. Based on this, a finite convergence time related to DOS attack time is derived. The integral sliding mode control strategy is adopted and the Lyapunov method is used to analyze it, so that the algorithm can resist DOS attacks and resist external disturbances. Through theoretical analysis, it is shown that the strategy is capable of converging to the global optimal solution in finite time even if it is attacked by DOS. We conducted case studies of six-EA and ten-EA systems to verify the effectiveness of this strategy. The proposed strategy has potential for deployment in distributed energy management systems that require resilience against DOS attacks.

Suggested Citation

  • Zhenghang Song & Xiang Wang & Baoze Wei & Zhengyu Shan & Peiyuan Guan, 2023. "Distributed Finite-Time Cooperative Economic Dispatch Strategy for Smart Grid under DOS Attack," Mathematics, MDPI, vol. 11(9), pages 1-19, April.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2103-:d:1135970
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    Cited by:

    1. Jinke Yao & Jiachen Xu & Ning Zhang & Yajuan Guan, 2023. "Model-Based Reinforcement Learning Method for Microgrid Optimization Scheduling," Sustainability, MDPI, vol. 15(12), pages 1-18, June.

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