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Confidentiality-preserving Obfuscation for Cloud-based Power System Contingency Analysis

机译:基于云的电力系统权变分析的保护机密混淆

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摘要

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并迁移到面向客户和企业IT应用程序的云技术和第三方云服务。安全性和可靠性是在电力系统运营应用中采用云技术和服务的主要障碍。在这项工作中,我们专注于使用云计算进行突发事件分析,并提出一种模糊处理有关潮流和突发事件违规信息的方法,同时允许操作员在云中以所需的精度分析突发事件。我们的经验评估表明,i)由于混淆方法引入到潮流中的误差很小,并且ii)引入的RMS误差随混淆程度线性增长。

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