Economic Low-Carbon Dispatch Optimization of Integrated Energy System Considering Power-to-gas and Carbon Capture System Based on Information Gap Decision Theory

With the increasing attention to carbon emissions, low carbon economy has become a new optimization goal for integrated energy systems (IES). In this paper, we propose an optimal scheduling model for integrated energy systems considering gas turbine, carbon capture system and power to gas coupling devices(GCCP), which can both improve the utilization of renewable energy and capture most of the CO 2 emitted from IES equipment. And the information intermittent decision theory is used to deal with the uncertainty of renewable energy output in IES, and two different dispatching strategies are obtained: risk-averse strategy and opportunity-seeking strategy. The simulation results show that 1) the IES with GCCP effectively reduces carbon emissions and significantly improves the absorption capacity of renewable energy, and 2) the IGDT approach provides flexible choices for dispatchers to deal with various uncertainties and risk factors.