面向云计算的电网静态安全分析模糊处理模型

Obfuscation Processing Model of Contingency Analysis forCloud-oriented Power Grid

摘要:

在智能电网快速发展的形势下，电力系统现有的计算和信息处理能力已不足以支持智能电网的实现。而云计算能够整合电网内部计算能力和存储资源，提高电网的处理和交互能力。针对目前云计算面临的安全性和可靠性问题，本文提出了一种潮流信息模糊化的加密处理模型，该模型能在确保电网潮流信息安全的前提下，提高云计算环境下电力系统静态安全分析的计算效率。同时在直流潮流模型下不会引入任何误差。进一步仿真分析表明，采用交流潮流模型时引入的误差较小，且平均均方根误差随模糊程度的增大而线性增大。

Abstract:

With the development of smart grid, the existing computing and information processing capability of power system are insufficient to support the realization of smart grid. While cloud computing can integrate the internal processing and storage resources of the power grid, and improve the processing and interaction ability of the power grid. Security and reliability are major barriers for adopting cloud technologies and services for power system. This paper proposes an approach to obfuscate information of power flow, which can ensure the information security of power grid and improve the calculation efficiency of static security analysis of power system in cloud computing environment. Meanwhile no error is introduced in the dc power flow model . Further simulation analysis shows the error introduced in the ac power flow model is small. Moreover the root mean square error grows linearly with the magnitude of obfuscation.