Optimal scheduling of integrated energy systems with carbon and hydrogen storage based on IGDT

Abstract

To deal with the uncertainties that the integrated energy system will encounter during operation, we propose an optimal scheduling strategy for the integrated energy system considering carbon and hydrogen storage. First, a comprehensive energy system containing a carbon capture system (CCS), power-to-gas technology (P2G), photothermal power station, and other equipment is established, and the combined operation of CCS and P2G is considered. Secondly, the carbon storage device and hydrogen storage device were respectively applied to the carbon capture system and P2G device, and the optimal scheduling model of the comprehensive energy system containing carbon storage and hydrogen storage was constructed. The operational constraints of the energy system will be integrated and the flexibility of the system will be improved. Finally, considering the dual uncertainties of the system source and load, a robust model and a chance model are constructed based on the Information Gap Decision Theory (IGDT). The economy of the real model and the influence of uncertainty on the whole system can be verified by close to real examples.