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.

中文翻译：

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基于配电系统状态估计的网络攻击检测策略

篡改测量信息的网络攻击威胁到当前配电系统的状态估计安全性。本文提出了一种基于配电系统状态估计（DSSE）的网络攻击检测策略。分配网络的不确定性由每个状态变量的间隔表示。提出了一种三相间隔DSSE模型来构造每个状态变量的间隔。提出了一种改进的迭代算法（IIA）来求解区间DSSE模型并获得区间的上下边界。当传统DSSE估计的状态变量的值超出间隔DSSE确定的相应间隔时，将检测到网络攻击。为了验证所提出的网络攻击检测策略，研究了网络攻击的基本原理，并制定了通用模型。拟议的网络攻击模型和检测策略在IEEE 33总线和123总线系统上进行。所提出的IIA，蒙特卡洛模拟算法和区间高斯消除算法的比较实验证明了所提出方法的有效性。