To improve the capacity of wind power consumption and reduce the carbon emission level of coal-fired power plant, an optimal capacity configuration method of a low-carbon energy system of oxygen-enriched coal-fired power plant using wind power to produce oxygen is proposed. First, considering the uncertainty and correlation of both sides of the power supply and load, a typical scenario generation method of ordered clustering algorithm based on the improved contour coefficient and the K-means clustering algorithm with DCH(+) evaluation index is adopted to obtain the typical scenario of power supply and load. Then, to minimize the total cost of the system, an optimal capacity configuration model of the system is constructed based on typical scenarios of power supply and load. Finally, taking the annual power supply and load data of a region in northwest China as an example, a simulation is carried out. The results show that the typical scenario generation method can rationalize the system capacity configuration results, and the introduction of oxygen-enriched combustion technology and considering the sale of excess liquid oxygen can effectively reduce the total system cost and carbon dioxide emissions, and improve the wind power consumption capacity.

This work is supported by the National Natural Science Foundation of China (No. 52067020).