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Defense Resources Optimization for AC-DC Hybrid System Against the Coordination Attack of False Data Injection Attack and Physical Attack

机译:AC-DC混合系统针对虚假数据注入攻击与物理攻击协同攻击的防御资源优化

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With the application of advanced information technology in the smart grid, the possibility of false data injection attack (FDIA) on the power system is increasing. The coordination attack of FDIA and physical attack will seriously threaten the security of the power system operation. The defense method for coordination attack is necessary for power system operation. Among the existing defense methods, reducing the attack loss by allocating defense resources in advance is an effective defense method. However, the existing defense resource allocation strategy mainly forces on AC system, which is not suitable for AC-DC hybrid system due to the coupling characteristics of AC and DC system. To solve this problem, this paper proposes a two-layer optimization method to optimize defense resources for AC-DC hybrid system against the coordination attack of FDIA and physical attack. The upper-layer model formulates the optimal allocation plan of defense resource to minimize the system load loss; the lower-layer model formulates the optimal attack plan to maximize the attack consequences. Next, the particle swarm algorithm is employed to solve the two-layer model to obtain the best resource allocation scheme in the most severe attack scenario. Finally, the effectiveness of this method is verified in modified IEEE 11 bus system.
机译:随着先进信息技术在智能电网中的应用,对电力系统进行错误数据注入攻击(FDIA)的可能性正在增加。 FDIA的协同攻击和物理攻击将严重威胁电力系统运行的安全性。协调攻击的防御方法是电力系统运行所必需的。在现有的防御方法中,通过预先分配防御资源来减少攻击损失是一种有效的防御方法。然而,现有的国防资源分配策略主要集中在交流系统上,由于交流和直流系统的耦合特性,不适合用于交流-直流混合系统。针对这一问题,本文提出了一种两层优化方法,针对AC-DC混合系统防御FDIA与物理攻击的协同攻击,优化防御资源。上层模型制定了防御资源的最佳分配方案,以最大程度地减少系统负载损失。下层模型制定了最佳的攻击计划,以最大程度地提高攻击效果。接下来,采用粒子群算法求解两层模型,以在最严峻的攻击情况下获得最佳的资源分配方案。最后,在改进的IEEE 11总线系统中验证了该方法的有效性。

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