海量坏数据攻击下的智能电网抗毁能力估计研究

Study on estimation of smart power grid′s destroy-resistant ability against massive bad data attack

针对传统抗毁能力估计不准确的问题,提出一种海量坏数据攻击下的智能电网抗毁能力估计方案。首先建立静态能量函数模型,通过模型系统进行评估可以防止海量坏数据对评估过程的干扰,同时优化了评估过程的算例分析,改变传统分析模式,使用VOPC进行系统函数分析,能对随机攻击以及恶意攻击进行分配评估,促进评估过程的准确程度。实验结果表明,所提方法能够对智能电网抗毁能力进行准确的评估。

Aiming at the inaccurate estimation of traditional destroy-resistant ability, a destroy-resistant ability estimation scheme of smart power grid is proposed to resist the massive bad data attack. The static energy function model is established. The model system used for evaluation can prevent the interference of massive bad data in the evaluation process, and optimize the example analysis of the assessment process, which can change the traditional analysis mode. The VOPC used for system function analysis can conduct the allocation assessment for the random attacks and malicious attacks to promote the accuracy de- gree of the evaluation process. The experimental results show that the estimation method for destroy-resistant ability of smart power grid can accurately evaluate the smart power grid＇s destroy-resistant ability against massive bad data attack.