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<p>With the increasing penetration of distributed renewable energy (DRE) in power systems, the virtual power plant (VPP) has rapidly developed as a novel structure. However, due to the distributed nature and characteristics of the VPP, its spatially dispersed devices make it more vulnerable to cyberattacks. Against this background, a distributed neural dynamic optimization algorithm is first proposed to solve the economic dispatch problem of the VPP. Then, considering the system instability under denial-of-service (DoS) attacks, the attack mechanisms and patterns of DoS on the VPP are analyzed. For coordinated attacks launched by multiple attackers, the attack targets are refined, and different defense strategies are adopted according to the degree of impact. For non-saturated DoS attacks, a self-fusing mechanism is designed to eliminate their influence. For nodes suffering from saturated attacks, a reputation marginalization strategy is proposed to mitigate external threats. The stability of the control system under DoS attacks is proven via Lyapunov theory. The proposed method effectively resists DoS attacks while maximizing the retention of generating units within the VPP, enabling the VPP to operate at minimum cost under attack conditions. Finally, the effectiveness of the proposed strategy is verified by a nine-node VPP system modeled in MATLAB/Simulink.</p>

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A Distributed Optimal Dispatch Strategy for Virtual Power Plants Considering DoS Attacks Based on Neural Dynamic Optimization

  • 期刊论文

  • 发表日期：

    2025年8月25日

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  • Jinglu Liu,
  • Jianghong Liu,
  • Xingyu Qu,
  • Ruobing Wang,
  • Yunfei Wang

摘要

With the increasing penetration of distributed renewable energy (DRE) in power systems, the virtual power plant (VPP) has rapidly developed as a novel structure. However, due to the distributed nature and characteristics of the VPP, its spatially dispersed devices make it more vulnerable to cyberattacks. Against this background, a distributed neural dynamic optimization algorithm is first proposed to solve the economic dispatch problem of the VPP. Then, considering the system instability under denial-of-service (DoS) attacks, the attack mechanisms and patterns of DoS on the VPP are analyzed. For coordinated attacks launched by multiple attackers, the attack targets are refined, and different defense strategies are adopted according to the degree of impact. For non-saturated DoS attacks, a self-fusing mechanism is designed to eliminate their influence. For nodes suffering from saturated attacks, a reputation marginalization strategy is proposed to mitigate external threats. The stability of the control system under DoS attacks is proven via Lyapunov theory. The proposed method effectively resists DoS attacks while maximizing the retention of generating units within the VPP, enabling the VPP to operate at minimum cost under attack conditions. Finally, the effectiveness of the proposed strategy is verified by a nine-node VPP system modeled in MATLAB/Simulink.