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MITIGATION OF ADVERSE EFFECT OF FALSE DATA INJECTION IN OPTIMALLY CONTROLLED SMART GRID

机译:最佳控制智能电网中假数据注入的不利影响的缓解

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The 'smart grid' is one of the largest critical infrastructure systems of any nation. Preventing the grid from data integrity attacks is vital for reliable operation of the grid. Various Phasor Measurement Units (PMUs) and other intelligent electronic devices play crucial role in real-time operations of the grid. Control actions are taken based on information received from such devices. However, all these modern measurement systems communicate with the control center via wireless network making them vulnerable to several security threats, data integrity attack being one of them. This paper addresses the issues associated with the injection of malicious data into the measurements. A model based 'trustiness' technique has been proposed to mitigate the adverse effect of such attacks in the performance of the electrical power grid. The proposed method has been demonstrated using the IEEE 14-bus test system.
机译:“智能电网”是任何国家最大的关键基础设施系统之一。防止网格受到数据完整性攻击对于网格的可靠运行至关重要。各种相量测量单元(PMU)和其他智能电子设备在电网的实时运行中起着至关重要的作用。根据从此类设备收到的信息采取控制措施。但是,所有这些现代测量系统都通过无线网络与控制中心通信,从而使其容易受到多种安全威胁的影响,其中之一就是数据完整性攻击。本文解决了与将恶意数据注入测量中相关的问题。已经提出了基于模型的“信任”技术来减轻这种攻击对电网性能的不利影响。使用IEEE 14总线测试系统已经证明了所提出的方法。

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