考虑负荷虚假数据注入攻击的电力信息物理系统防御策略

为了更好地保障电网安全稳定运行,以电力信息物理高度融合为背景,结合博弈论思想,研究了电力信息物理系统攻防的具体过程,分析了一定防御资源下的最优防御方案及最小负荷期望损失。首先,以上层防御者制定最优防御方案降低电网脆弱性,中层攻击者制定最优防御策略最大化攻击效果,下层运行人员采取最优调度措施降低攻击损失为思路建立了一种三层优化模型。其次,基于遍历思想结合遗传算法和混合整数规划模型制定三层模型求解方案。最后基于算例分析,验证了该模型的有效性。

Cyber-physical system defense strategy considering loaded false data injection attacks

In order to achieve the higher security level of power system in context of cyber-physical fusion, the detailed procedures of attacks and defenses are studied in this paper based on the three-level framework of game theory. The optimal defense strategy and the minimal load loss expectation under the limited defense resources are also investigated. Firstly, the optimal defense strategy is modeled in the upper defender model to reduce the vulnerability of power grid. Then, the middle attacker model is established to maximize the attack effects. In the lower-level, the optimal dispatch is used to reduce the attack loss. To solve the problem efficiently, mixed integer programming method combined with traversal thought based genetic algorithm is employed to calculate the optimal results. The feasibility of the proposed approach is validated through a benchmark case study. This work is supported by National Natural Science Foundation of China (No. 51437003).