Distributed Dynamic State Estimation Considering Packet Losses in Interconnected Smart Grid Subsystems: Linear Matrix Inequality Approach
Distributed Dynamic State Estimation Considering Packet Losses in Interconnected Smart Grid Subsystems: Linear Matrix Inequality Approach
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DOI：
10.1109/access.2019.2949995
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
M. Rana;A. Shahirinia
中科院分区：
文献类型：
--
作者：
M. Rana;A. Shahirinia
提出了一种考虑互联智能电网子系统丢包的分布式动态状态估计算法。特别地，分布式过滤器结构以互连的方式发展，其中丢包发生在它们之间的通信链路上。将所有估计误差组合在一起，以紧凑的形式写出系统真态与估计态之间的动态误差。在引入半定规划变量后，可将其转化为线性矩阵不等式框架。最后，在求解凸优化问题后，计算了分布式估计器的局部增益和邻近增益。该方法应用于IEEE 14总线系统。在此基础上，利用Holt-Winters方法得到了IEEE 14总线的状态空间模型。在考虑丢包和网络攻击的情况下，给出了仿真结果。
This paper proposes a distributed dynamic state estimation algorithm considering packet losses in interconnected smart grid subsystems. Particularly, the distributed filter structure is developed in an interconnected way where the packet dropouts occur in communication links between them. The system error dynamic between true and estimate state is written in a compact form after combining all estimation errors. It can be transformed into the linear matrix inequality framework after introducing semidefinite programming variables. Finally, the local and neighboring gains for the distributed estimator are computed after solving the convex optimization problem. The explore method is applied to the IEEE 14-bus system. In doing this, the state-space model of IEEE 14-bus is obtained using the Holt-Winters method. Simulation results are demonstrated considering packet losses and cyber attacks.