Decomposition and coordination state estimation for multi dispatching and control centers

Abstract

To solve problem that centralized state estimation algorithm cannot meet real-time, fast and robust requirements of multi-area interconnected power system, this paper presents a decomposition-coordination state estimation algorithm for large-scale power network based on multi dispatching and control centers. Considering power grid under hierarchical multi-area control and management structure, it is decomposed into main electrical partition and several sub partitions with node splitting method based on real-time operating mode, and decomposition state estimation model is established for whole power grid. State vectors are resolved with iteration based on mismatch values of boundary measurement between main and sub partitions. Sensitivities among state variables and boundary measurements are also used. Coordination is achieved in main and sub partitions. State estimation result of whole grid is formed in model center and used for advanced application, such as power flow calculation, security and stability analysis. In practical application on D5000 system, it is proved that the proposed method has higher accuracy, convergence and computational efficiency.