A new coordinated approach to state estimation in integrated power systems

Many large cities have their hybrid transmission and distribution networks, while traditionally, transmission and distribution state estimators are studied and developed separately. In order to achieve a global consistent state estimation solution, the balance transmission and unbalance distribution networks are studied as a whole in this paper. A novel master–slave-splitting (MSS) iterative method is developed for calculating large-scale and mixed state estimation (MSE) problem. In the MSS method, with introducing the boundary fictitious measurement, the MSE problem of large scale is split into a balanced transmission state estimation and many unbalanced distribution state estimation sub-problems of small scale. In order to fit the different features between balanced transmission and unbalanced distribution networks, each sub-problem can be solved with different algorithm. Several case studies are carried out, and the accuracy, convergence, efficiency and reliability of the proposed method are validated.

► A master–slave-splitting method is developed for calculating large-scale state estimation problem. ► The balance transmission and unbalance distribution networks are studied as a whole here. ► The MSE problem of large scale is split into some state estimation sub-problems of small scale. ► Each sub-problem can be solved with different algorithm.