Integrated Energy System Economic Dispatch Based on Affine Adjustable Robust Optimization

Abstract

Uncertainties in renewable energy and loads bring challenges to the operation of integrated energy system (IES). Firstly, the general model of the industrial park's IES was established based on the linear energy hub. Then a two-stage economic dispatch model of the industrial park's IES based on the affine adjustable robust optimization was constructed. In this model, the on-off state and base power output of units were calculated to satisfy the energy balance regardless of the renewable energy output, and participation factors were obtained to ensure a feasible solution for all scenarios under the uncertainty set of the renewable energy output. Finally, the model was transformed into a mixed integer linear programming (MILP) model. The case study shows that the proposed dispatch method provides a more economical and practical scheme than the classical robust optimization.

Keywords

• integrated energy system (ies)
• affine adjustable robust optimization
• uncertainty
• economic dispatch
• energy hub