分布式电网CPS 系统数据攻击下的状态估计

电力物理网络通过构建信息网络进行优化调控并构成信息物理融合系统, 实现大规模分布式系统的优化控制, 随之而来的问题是病毒、黑客入侵、拒绝服务等来自信息网络的威胁, 导致物理系统恶意破坏. 鉴于此, 以攻击可检测为前提, 建立攻击信号下的电力系统分布式动态模型, 设计动态状态估计器检测受攻击的信号, 并估计其原始信号. 最后通过3 机9 节点分布式电网系统仿真实验验证了所设计的状态估计器对于数据攻击检测的有效性.

State estimation for distributed cyber-physical power systems under data attacks

For the physical network, such as the power physical network, the cyber network is built to optimize the regulation and control to constitute the cyber-physical system, in order to achieve optimal control of large scale distributed systems, which brings along with virus, hacking, denial of service from the threat of cyber network may lead to malicious damage in physical system. A distributed dynamic model for a class of power systems with data attack is built with the assumption of attack detectability. Dynamic state estimators are presented to detect the attacked data and estimate its original value. Finally, a simulation of the 9-bus distributed power system shows the effectiveness of the detection of the data attack by the proposed state estimators.