考虑时空扩散和碳汇的碳捕集-电转气协同优化调度模型

Carbon Capture-P2G Collaborative Optimal Dispatch Model Considering Spatiotemporal Diffusion and Carbon Sink

传统的低碳经济调度只考虑碳排放源问题,而没有考虑碳排放去向问题。因此,在碳捕集-电转气的协同运行模式基础上,同时考虑碳排放源和碳排放去向问题,提出了自由二氧化碳浓度(FCDC)的概念。针对不同生态地理环境的碳汇差异,考虑二氧化碳排放的大气扩散和地面植被碳汇的作用,构建自由二氧化碳浓度分布模型。然后,以平均自由二氧化碳浓度最小和总运行成本最小作为目标函数,建立碳捕集-电转气协同运行的低碳经济调度模型。最后,通过算例仿真验证了所提协同优化调度模型的有效性,可在保证经济效益的同时减少碳排放。

The traditional low-carbon economic dispatch only considers the issues of carbon emission sources, but does not consider the problems of carbon emission destinations. Therefore, based on the collaborative operation mode of carbon capture and power to gas(P2G), while considering the carbon emission source and carbon emission destination at the same time, the concept of free carbon dioxide concentration(FCDC)is proposed. Because of the differences of carbon sinks in different ecological and geographical environments, considering the effects of atmospheric diffusion and ground vegetation carbon sink for carbon dioxide emissions, a FCDC distribution model is constructed. Then, the minimum average FCDC and the minimum total operating cost are used as the objective function to establish the optimal low-carbon economic dispatch model with carbon capture-P2G collaborative operation. Finally, the effectiveness of the proposed collaborative optimal dispatch model is verified by case simulation, which can reduce the carbon emissions while ensuring the economic benefits.