A Distributionally Robust Power Dispatch Model for Active Distribution Network

The uncertainty of distribution network operation is increasing with the integration large-scale renewable distributed generation (DG) units. To reduce conservativeness traditional robust optimization (RO) solutions, a data-driven optimal approach, which incorporates superiority both stochastic and approaches, employed to solve dispatch model in this paper. Firstly, deterministic dispatching established minimum total cost network; secondly, two-stage constructed based on historical data renewable-generators output available. first stage aims at finding values under basic prediction scenario. In second stage, uncertain probability confidence sets norm-1 norm-∞ constraints are integrated find solution worst distribution. solved by column-and-constraint (CCG) algorithm. Numerical simulation IEEE 33-bus system has been performed. Comparisons approaches demonstrate effectiveness proposal.