A Day-ahead Adjustable Robust Dispatching Model of Integrated Energy Systems Considering Renewables Penetration

The uncertainty of renewables penetration brings challenges to the operation of the integrated energy system (IES). This paper focuses on the development of adjustable robust dispatch for this purpose. Firstly, IES is modeled based on the energy hub. Then an adjustable robust dispatching model is designed with the goal of minimum cost, where the decision variables are obtained to ensure a feasible solution for all scenarios according to the uncertainty set. On this basis, the model is further transformed into a mixed-integer linear program (MILP) so that it can be easily solved by the existing solvers. Finally, it is shown that the optimum scheme obtained by the proposed method reduces the reserve capacity and cost compared with the static robust optimization.