论文标题
使用网络弹性经济调度来缓解针对电网的改变负载攻击
Mitigating Load-Altering Attacks Against Power Grids Using Cyber-Resilient Economic Dispatch
论文作者
论文摘要
大规模的负载攻击（LAAS）针对Things Internet（IoT）启用了高战争电器（例如，启用WiFi-nifi的空调，电动汽车等）对Power Systems的安全性和稳定性构成了严重威胁。在这项工作中，提出了一个网络弹性经济调度框架（CRED）框架，以减轻LAA的不稳定效果，同时通过动态优化基于反逆变器的资源（IBRS）的频率下垂控制的频率下降来最大程度地减少整体运营成本。建立了包含LAA和IBR下垂控制的系统频率动力学。系统稳定性约束是根据参数敏感性明确得出的。为了将它们纳入CRED模型并最大程度地减少灵敏度分析的误差，进一步提出了递归线性化方法。采用分布鲁棒的方法来说明与LAA检测/参数估计相关的不确定性。通过修改的IEEE可靠性测试系统中的模拟证明了拟议的信用模型的总体性能。
Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT) enabled high-wattage electrical appliances (e.g., wifi-enabled air-conditioners, electric vehicles, etc.) pose a serious threat to power systems' security and stability. In this work, a Cyber-Resilient Economic Dispatch (CRED) framework is presented to mitigate the destabilizing effect of LAAs while minimizing the overall operational cost by dynamically optimizing the frequency droop control gains of Inverter-Based Resources (IBRs). The system frequency dynamics incorporating both LAAs and the IBR droop control are modeled. The system stability constraints are explicitly derived based on parametric sensitivities. To incorporate them into the CRED model and minimize the error of the sensitivity analysis, a recursive linearization method is further proposed. A distributionally robust approach is applied to account for the uncertainty associated with the LAA detection/parameter estimation. The overall performance of the proposed CRED model is demonstrated through simulations in a modified IEEE reliability test system.
