Abstract
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.
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