A Probability-Based Distributionally Robust Optimization Approach for Transmission and Distribution Networks Coordinated Dispatch

The development of information interconnection technology has enabled the sharing of information between different levels of power grids. The co-operation of transmission and distribution networks, abbreviated as coordinated T&D operation, is an effective approach for achieving optimal allocation of generation resources in multi-level power grids, thereby enhancing the utilization of distributed renewable energy. However, the uncertainty surrounding distributed renewable energy presents a major challenge to the coordinated allocation. Traditional operating methods often lead to additional adjustment costs for over-conservatism or empirical errors due to limited historical date. In this paper, a probability-based distributionally robust optimal (DRO) method is introduced to the coordinated T&D operation model to deal with uncertainty. The proposed DRO model aims to strike a balance between conservatism and optimism. And the co-operation problem is addressed by a novel column-and-constraint generation (C&CG) algorithm. Simulation results show that the DRO-based coordinated T&D operation model can efficiently coordinate the generation resources in multi-level power system and achieve better economic benefits.