Centralized Distributionally Robust Chance-Constrained Dispatch of Integrated Transmission-Distribution Systems

Coordinated dispatch of integrated transmission-distribution systems (ITDs) continues to be a hotspot due to the growing demand-side flexibility. Decentralized optimization, which has been widely studied, does not conform to the current hierarchical framework of power system operation. This paper proposes a centralized distributionally robust chance-constrained dispatch model for ITDs. The transmission system operator considers the flexible ranges of large-scale distributed energy resources (DERs) in distribution systems via flexibility aggregation. A price-guided flexibility model is proposed to describe the temporally coupled aggregate flexibility of distribution systems. It is constructed by filtering those constraints with a high probability of activeness in the ITD dispatch problem, reducing the number of constraints from quadratic to linear with the number of divided time slots while maintaining high accuracy. Furthermore, we use the data-driven distributionally robust chance constraint to deal with the uncertainty from both renewable generations and the flexibility of DERs. Numerical simulations on IEEE test systems verify the effectiveness of the proposed methods.