Multi-area Parallel State Estimation of Power System Based on Zookeeper

With the scale of power system increasing, the problem of low efficiency and poor reliability of centralized state estimation becomes more and more prominent. In this paper, we propose a multi-area parallel state estimation method with information exchange based on the zookeeper system. Firstly, by analyzing the structure of power system’s gain matrix, the solution process is carried out parallelly; Secondly, the power system is divided into several areas, and the gain matrix is divided into several blocks correspondingly; After that, according to the calculation factor digraph, the data to be exchanged between areas is determined and the corresponding zookeeper storage nodes are configured; Finally, the simulation results are provided to verify the correctness and effectiveness of this method.