考虑虚假数据注入攻击的有源配电网分布式状态估计

状态估计作为保障电网监测数据质量的关键一环，为能量管理系统提供可靠的数据基础。考虑到有源配电网量测误差大、易遭受网络攻击等问题，本文研究计及虚假数据注入攻击的有源配电网分布式状态估计方法。首先，各子区域根据自身量测进行状态估计，并利用平均一致性算法获取全局信息对内部状态量进行修正，实现完全分布式状态估计；其次，在子区域状态估计中引入权函数动态修正目标极值函数的权重矩阵，增强状态估计的抗差性能；然后，在边界节点和易受到虚假数据注入攻击的节点配置同步相量测量单元，提高辨识虚假数据攻击的能力；最后，利用IEEE 118节点配电网系统进行算例仿真验证。试验结果表明，本文所提出的状态估计方法不仅可以有效减小估计误差，还能准确辨识虚假数据注入攻击，提高了状态估计的精度和虚假数据注入攻击的辨识能力。

Distributed state estimation of active distribution network considering false data injection attack

As a key link to ensure the quality of power grid monitoring data,the state estimation provides a reliable data basis for the energy management system. Considering the problems of the large measurement errors and the vulnerability to the cyberattacks in active distribution network,a distributed state estimation method for active distribution network with the false data injection attacks (FDIAs) is studied in this paper. Firstly,the internal state of the subsystem is estimated according to its own measurement,and it is corrected with the global information obtained by the average consensus algorithm,thus the fully-distributed state estimation is realized. Secondly,the weight function is introduced into the subsystem state estimation to modify the weight matrix of the objective extremum function dynamically for improving the robustness of the state estimation. Subsequently,the phasor measurement unit is configured on the boundary nodes and the nodes which are vulnerable to the FDIAs for enhancing the ability to identify the attacks. Finally,the simulations are performed on the IEEE 118-bus distribution network system for verification. The results show that the proposed state estimation method can not only reduce the estimation error effectively,but also identify the FDIAs accurately,which verifies that the accuracy of state estimation and the identification ability of FDIAs are improved.