Multimicrogrid (MMG) systems play an increasingly important role in the smart grid. They come with various potential cyberattacks, which may cause power supply interruption or even human casualties. Therefore, decision-making for timely mitigation of cyberattack risks is highly desirable in the security protection of power systems. However, there is a lack of effective decentralized decision-making strategies that are able to deal with MMG scenarios through distributed consensus. To address this issue, a decentralized consensus decision-making (DCDM) approach is proposed in this article for the security of MMG systems. It achieves decentralized consensus without the need of a trusted authority or central server, making it distinct from existing consensus methods. Meanwhile, it guarantees the consistency and nonrepudiability of consensus results, which are stored on the blockchain in sequence. In each of the distributed agents, the approach consists of a fuzzy static Bayesian game model (FSB-GM) to determine the optimal security strategy and a hybrid consensus algorithm to achieve consensus. The FSB-GM considers the fuzzy preferences of different types of attackers and defenders. The hybrid consensus algorithm is implemented by the fusion improvement of two consensus mechanisms in the blockchain. The effectiveness of the presented approach is demonstrated through a case study on an MMG system.

中文翻译：

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多微电网系统中网络安全保护的分散共识决策

Multimicrogrid（MMG）系统在智能电网中扮演着越来越重要的角色。它们会带来各种潜在的网络攻击，这可能会导致电源中断甚至人员伤亡。因此，在电力系统的安全保护中，迫切需要制定用于及时缓解网络攻击风险的决策。但是，缺乏能够通过分布式共识来应对MMG场景的有效的分散决策策略。为了解决此问题，本文针对MMG系统的安全性提出了一种分散共识决策（DCDM）方法。它不需要授权机构或中央服务器即可实现分散式共识，从而使其与现有共识方法有所不同。同时，它保证了共识结果的一致性和不可否认性，依次存储在区块链上。在每个分布式代理中，该方法均由用于确定最佳安全策略的模糊静态贝叶斯博弈模型（FSB-GM）和用于达成共识的混合共识算法组成。FSB-GM考虑了不同类型的攻击者和防御者的模糊偏好。混合共识算法是通过区块链中两个共识机制的融合改进来实现的。通过在MMG系统上进行的案例研究证明了所提出方法的有效性。FSB-GM考虑了不同类型的攻击者和防御者的模糊偏好。混合共识算法是通过区块链中两个共识机制的融合改进来实现的。通过在MMG系统上进行的案例研究证明了所提出方法的有效性。FSB-GM考虑了不同类型的攻击者和防御者的模糊偏好。混合共识算法是通过区块链中两个共识机制的融合改进来实现的。通过在MMG系统上进行的案例研究证明了所提出方法的有效性。