Cyber-attack Detection Strategy Based on Distribution System State Estimation
Cyber-attack Detection Strategy Based on Distribution System State Estimation
复制标题
基于配电系统状态估计的网络攻击检测策略
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Huiyu Zhan
中科院分区：
文献类型：
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作者：
Long Huan;Zhi Wu;Chen Fang;W. Gu;Xinchi Wei;Huiyu Zhan
篡改量测信息的网络攻击威胁着当前配电系统状态估计的安全性。提出了一种基于配电系统状态估计的网络攻击检测策略。配电网的不确定性由各状态变量的区间表示。提出了一种三相区间DSSE模型来构造各状态变量的区间。提出了一种改进的迭代算法（IIA）来求解区间DSSE模型，并得到了区间的上下界。当由传统DSSE估计的状态变量的值超出由区间DSSE确定的相应区间时，检测到网络攻击。为了验证所提出的网络攻击检测策略的有效性，研究了网络攻击的基本原理，建立了网络攻击的一般模型。提出的网络攻击模型和检测策略进行了IEEE 33总线和123总线系统。通过与蒙特卡罗模拟算法和区间高斯消去法的对比实验，验证了该方法的有效性。
Cyber-attacks that tamper with measurement information threaten the security of state estimation for the current distribution system. This paper proposes a cyber-attack detection strategy based on distribution system state estimation (DSSE). The uncertainty of the distribution network is represented by the interval of each state variable. A three-phase interval DSSE model is proposed to construct the interval of each state variable. An improved iterative algorithm (IIA) is developed to solve the interval DSSE model and to obtain the lower and upper bounds of the interval. A cyber-attack is detected when the value of the state variable estimated by the traditional DSSE is out of the corresponding interval determined by the interval DSSE. To validate the proposed cyber-attack detection strategy, the basic principle of the cyber-attack is studied, and its general model is formulated. The proposed cyber-attack model and detection strategy are conducted on the IEEE 33-bus and 123-bus systems. Comparative experiments of the proposed IIA, Monte Carlo simulation algorithm, and interval Gauss elimination algorithm prove the validation of the proposed method.