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Quantifying the influence of local load redistribution attack on power supply adequacy

机译:量化本地负载重新分配攻击对电源充足性的影响

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With the broader deployment of cyber technologies in electric power systems, the envisioned cyber-physical smart grid will be more vulnerable to malicious cyber attacks including local load redistribution (LR) attack which can affect the outcome of state estimation. It is crucial to evaluate the potential impact of local LR attacks on the power system adequacy in a long time span for the next-generation power grid. In this study, the local LR attack is mathematically modeled as a bilevel optimization problem. The long-term occurrence frequency of local LR attacks is represented by the power law distribution. Considering the difficulty and consequence of each attack region, probability of choosing the valid attack region is calculated. A holistic framework for incorporating the local LR attack into the conventional power system adequacy assessment is proposed. Simulations are conducted based on a modified IEEE 14-bus system. Simulation results demonstrated that the impact of local LR attacks on power system adequacy should not be neglected if such attacks occur frequently in the future.
机译:随着网络技术在电力系统中的广泛部署,设想的网络物理智能电网将更容易受到恶意网络攻击,包括可能影响状态估计结果的本地负载重新分配(LR)攻击。对于下一代电网来说,评估本地LR攻击对电力系统充足性的潜在影响至关重要。在这项研究中,本地LR攻击在数学上被建模为双层优化问题。本地LR攻击的长期发生频率由幂律分布表示。考虑到每个攻击区域的难度和后果,计算选择有效攻击区域的可能性。提出了将本地LR攻击纳入常规电力系统充分性评估的整体框架。仿真是基于改进的IEEE 14总线系统进行的。仿真结果表明,如果将来经常发生本地LR攻击对电力系统充足性的影响,则不应忽略这种攻击。

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