Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations

The separation scheduling of transmission and distribution (T&D) grids brings unbalanced boundary power and insufficient utilization of grid resources in practice. To solve these problems, a dynamic coordinated scheduling scheme for an integrated T&D framework is developed in this paper. Taking into consideration the operating characteristics of the integrated system, a two-stage optimization model is proposed considering the shared variables between the T&D grids. The model contains two submodels, which have their own scheduling objectives. Besides, in order to reflect the output characteristics of renewable energy generations (REGs), robust optimization approach is introduced to deal with uncertainties of outputs. To solve this model, a hierarchical optimization algorithm is presented. The algorithm ensures interaction process between the T&D grids and can coordinate the relationship between system economy and robustness effectively. Finally, the case studies verify efficiency of the proposed scheduling scheme.