Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems

作者：Qing, Xiangyun^*; Karimi, Hamid Reza; Niu, Yugang; Wang, Xingyu

来源：International Journal of Electrical Power & Energy Systems, 2015, 65: 26-33.

DOI：10.1016/j.ijepes.2014.09.024

• Dynamic state estimation
• Unscented Kalman filter
• Consensus algorithm
• Multi-area power system

A decentralized unscented Kalman filter (UKF) method based on a consensus algorithm for multi-area power system dynamic state estimation is presented in this paper. The overall system is split into a certain number of non-overlapping areas. Firstly, each area executes its own dynamic state estimation based on local measurements by using the UKF. Next, the consensus algorithm is required to perform only local communications between neighboring areas to diffuse local state information. Finally, according to the global state information obtained by the consensus algorithm, the UKF is run again for each area. Its performance is compared with the distributed UKF without consensus algorithm on the IEEE 14-bus and 118-bus systems. The low communication requirements and high estimation accuracy of the decentralized UKF make it an alternative solution to the multi-area power system dynamic state estimation.

• 出版日期2015-2
• 单位华东理工大学