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Confidentiality-preserving obfuscation for cloud-based power system contingency analysis

机译:基于云的电力系统突发事件分析中的保密保留混淆

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Power system operators are looking to adopt and migrate to cloud technologies and third-party cloud services for customer facing and enterprise IT applications. Security and reliability are major barriers for adopting cloud technologies and services for power system operational applications. In this work we focus on the use of cloud computing for Contingency Analysis and propose an approach to obfuscate information regarding power flows and the presence of a contingency violation while allowing the operator to analyze contingencies with the needed accuracy in the cloud. Our empirical evaluation shows, i) that the errors introduced into power flows due to the obfuscation approach are small, and ii) that the RMS errors introduced grow linearly with the magnitude of obfuscation.
机译:电力系统运营商正在寻求采用和迁移到云技术和第三方云服务,为客户面对和企业IT应用。安全性和可靠性是采用云技术和服务电力系统操作应用的主要障碍。在这项工作中,我们专注于使用云计算以进行应急分析,并提出一种混淆有关权力信息的方法以及允许运营商分析云中所需精度的违规行为的方法。我们的经验评估表明,i)引入电源流入的误差由于混淆方法而导致的误差是小,并且II)rms误差引入与混淆的大小线性增长。

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