Two-Stage Robust Optimal Scheduling of Integrated Energy System with Wind And Photovoltaic Uncertainty and CHP

Abstract

In order to improve the utilization rate of renewable energy and improve the anti-interference ability of the system under the uncertain scenery, the following researches are carried out in this paper. Firstly, a two-stage robust optimization model is constructed considering the uncertainties of wind power and photovoltaic output. The pre-scheduling stage aims to minimize the investment and construction cost, and the re-scheduling stage includes the operation and maintenance cost of (Power-to-Gas, P2G), (Carbon Capture and Storage, CCS), (Combined Heat and Power, CHP), step-type carbon trading cost, and the cost of purchasing power and gas. By identifying the volatility of wind power and photovoltaic under harsh scenarios, the objective function of coupling equipment optimization is coordinated. The model consists of the main problem and the subproblem, which are solved iteratively by the column constraint generation algorithm (C&CG). Finally, a comparison scheme is set to verify the robustness of the model.