Comprehensive energy control with coordinated operation of multiple energy sources can effectively realize multi-energy complementarity and promote the improvement of energy efficiency.Aiming at the uncertainty problem of renewable energy output

this paper adopts power big data technology based on data-driven approach

and uses MVEE algorithm based on limit scenario to obtain ellipsoid uncertainty set to accurately describe historical data

and avoids the complex operation of dualization.A scheduling model of regional integrated energy system with complementary power

gas

cooling and heat is established

and the model is solved by using column and constraint generation method.The feasibility and superiority of the digital scheduling strategy in this paper are proved through the analysis of numerical examples and the comparison of cost.