A two-stage robust optimal dispatching model for source-load-storage resources flexibility supply-demand balance considering integrated carbon capture power plants

Abstract

In the context of the shortage of flexibility caused by large-scale renewable energy connection to the power system, the paper considers retrofitting the carbon capture & storage (CCS) and solvent storage tanks in thermal power plants (TPP) to form integrated carbon capture power plant (ICCPP), and quantifies the overall flexibility supply capacity of the power system by combining the characteristics of multiple resources. Secondly, considering the uncertainty of the net load ‘start and end time’, the flexibility requirement is calculated using the interval method. A two-stage robust optimization (TRO) dispatch model of the power system considering flexible supply and requirement is developed. The case study shows that: the conventional CCPP can reduce the carbon emission of TPP by 36.9 %, the upward and downward flexibility shortages are reduced by 17.45MW and 512.8MW respectively, and the total cost of day-ahead dispatching is reduced by 23.14 %. After configuring the solvent storage tanks, the carbon emission is further reduced by 8.03 % and there is no flexibility shortage, and the total cost is reduced by 5.3 %. The above results show that ICCPP can improve the low-carbon and flexibility of the power system, and the TRO model can well balance the economy and robustness of the dispatch plan.