To ensure the low-carbon economic operation of the integrated energy system for parks and to improve the economic performance of the energy storage system
an optimization scheduling method for integrated energy systems accounting for multi-scenario synergistic carbon reduction is proposed in this paper. Through the analysis of the coupling relationship between multiple stakeholders in the carbon trading and green certificate markets
a scheduling strategy for multi-scenario synergistic carbon reduction is formulated and a market entity model for multiple flexible loads and energy storage under multiple scenarios is established. A robust optimal scheduling model with renewable energy uncertainty is constructed based on the Stackelberg game optimization framework with the integrated energy system operator as the leader and the load aggregator and energy storage operator as the followers. The effectiveness of the proposed method is verified by simulating and analyzing the actual operation data of an integrated energy system in a park and the optimization effects of different scenarios and extreme scenarios of renewable energy are compared and analyzed. The calculation results show that the method proposed in this paper balances the low-carbon and economic aspects of the system
the total cost of the integrated energy system is reduced by 7.89%
carbon emissions are reduced by 4.15 tons
and the revenue of the energy storage system is increased by 53.68%.
ALGARNI A S, SURYANARAYANAN S, SIEGEL H J, et al.Combined impact of demand response aggregators and carbon taxation on emissions reduction in electric power systems[J]. IEEE transactions on smart grid, 2021, 12(2): 1825-1827.