利用风电制氧的富氧燃煤电厂低碳能源系统容量优化配置

为提高风电消纳能力，降低燃煤电厂碳排放水平，提出了一种利用风电制氧的富氧燃煤电厂低碳能源系统容量优化配置方法。首先，考虑到源荷双侧的不确定性及相关性，采用基于改进轮廓系数的有序聚类算法与含DCH(+)评价指标的K-means聚类算法的典型场景生成法获得源荷典型场景。在此基础上，以系统总成本最小为目标，构建了基于源荷典型场景的利用风电制氧的富氧燃煤电厂低碳能源系统容量优化配置模型。最后，以西北某地区全年源荷数据为例进行了仿真验证。结果表明该典型场景生成法能使系统容量配置结果合理化，引入富氧燃烧技术的同时考虑售卖多余液氧可有效降低系统总成本及碳排放量，提高风电消纳能力。

Optimal capacity configuration of a low carbon energy system of oxygen-enriched coal-fired power plant using wind power to produce oxygen

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).