李瑶虹, 黄伟, 孙贝贝, 张新鹤, 薛一鸣. 拒绝服务攻击下基于分布式事件触发一致性预测补偿的微电网能量优化管理[J]. 现代电力, 2021, 38(2): 178-186. DOI: 10.19725/j.cnki.1007-2322.2020.0233
引用本文: 李瑶虹, 黄伟, 孙贝贝, 张新鹤, 薛一鸣. 拒绝服务攻击下基于分布式事件触发一致性预测补偿的微电网能量优化管理[J]. 现代电力, 2021, 38(2): 178-186. DOI: 10.19725/j.cnki.1007-2322.2020.0233
LI Yaohong, HUANG Wei, SUN Beibei, ZHANG Xinhe, XUE Yiming. Optimal Energy Management in Micro-grid Based on DistributedEvent-triggered Consensus Predictive Compensation under DoS Attack[J]. Modern Electric Power, 2021, 38(2): 178-186. DOI: 10.19725/j.cnki.1007-2322.2020.0233
Citation: LI Yaohong, HUANG Wei, SUN Beibei, ZHANG Xinhe, XUE Yiming. Optimal Energy Management in Micro-grid Based on DistributedEvent-triggered Consensus Predictive Compensation under DoS Attack[J]. Modern Electric Power, 2021, 38(2): 178-186. DOI: 10.19725/j.cnki.1007-2322.2020.0233

拒绝服务攻击下基于分布式事件触发一致性预测补偿的微电网能量优化管理

Optimal Energy Management in Micro-grid Based on DistributedEvent-triggered Consensus Predictive Compensation under DoS Attack

  • 摘要: 针对微电网下电力系统通信易受到拒绝服务攻击(denial of service attack,DoS)、局部信息不开放以及通信带宽受限等问题,提出了一种基于DoS攻击的分布式事件触发的无模型预测补偿能量优化管理控制方法。首先,为了优化微电网能量供给并使得获利最大,给出考虑微电网功率损失的维持供需平衡的最小成本函数;其次,将微电网中的每个部分看作一个智能体并考虑了通信带宽受限问题,提出了一种分布式事件触发一致性算法;随后,提出一种基于输入输出数据的无模型预测控制算法,利用跟踪攻击前时刻的供需不匹配功率来预测补偿当前时刻及其后多个时刻的智能体功率数据缺失;最后,通过仿真实例验证所提出的基于分布式事件触发一致性预测补偿的微电网能量管理方法的有效性。

     

    Abstract: To solve the problems appeared in microgrid communication such as denial of service (DoS) attack, locality of information and bandwidth-constrained, a DoS attack and distributed event-triggering based model-free predictive compensation energy of microgrid optimization management and control method is proposed. Firstly, to make energy supply for microgrid optimized and the profit maximized, a minimum cost function, which considered the microgrid power loss to maintain the balance between supply and demand, was given. Secondly, regarding each part in the microgrid as an agent and considering the limited communication bandwidth, a distributed event-triggered consistency algorithm was proposed. Thirdly, an input and output data based model-free predictive control algorithm was put forward, by means of tracking the mismatched power between supply and demand at the moment before the attack the power data loss of the agent at current moment and those of many moments after the attack would be predicted and compensated. The effectiveness of the proposed microgrid energy management method based on distributed event triggered consistency prediction compensation is verified by simulation example

     

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