A cloud-fog computing-based event-triggered distributed energy optimization management method based on predictive attack compensation is proposed to address the problem of denial of service (DoS) attack, the complexity of computation, and the bandwidth constraint on the communication network in microgrids. Firstly, in order to optimize the energy supply of microgrid and maximize the profit, the minimum cost function of maintaining the balance of supply and demand is given considering the power loss of microgrid. Secondly, considering the problem of bandwidth-constrained communication, a distributed event-triggered consensus algorithm is proposed based on fog computing. Thirdly, a model predictive compensation algorithm based on cloud computing is proposed, which uses the mismatched power between supply and demand at the historical time before the attack to predict and compensate the missing data of the agent power at the current time and many times after attack. Finally, the effectiveness of the proposed method is verified by simulation results.

中文翻译：

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基于云雾计算的分布式事件触发共识预测补偿在DoS攻击下的微电网最佳能源管理

提出了一种基于云雾计算的基于预测攻击补偿的事件触发分布式能源优化管理方法，以解决拒绝服务（DoS）攻击，计算复杂性以及微网通信网络的带宽约束问题。 。首先，为了优化微电网的能量供应并最大化利润，考虑微电网的功率损耗，给出了维持供需平衡的最小成本函数。其次，针对带宽受限的通信问题，提出了一种基于雾计算的分布式事件触发共识算法。第三，提出了一种基于云计算的模型预测补偿算法，它使用攻击前历史时间的供需之间不匹配的功率来预测和补偿当前时间以及攻击后许多次的代理功率缺失数据。最后，仿真结果验证了该方法的有效性。