考虑风能-太阳能不确定性的P2G-CCS综合能源系统低碳经济调度

Bin Qiu, Xianda Wang, Kai Wang
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引用次数: 0

摘要

为了提高可再生能源消费,实现低碳排放,促进综合能源系统的发展,本文提出了考虑风能-太阳能不确定性和P2G-CCS (power to gas and carbon capture system, P2G-CCS)耦合的综合能源系统低碳经济模型。将风电机组和光伏发电机组出力的不确定性表示为不确定区间,采用鲁棒优化方法确定风电机组和光伏发电机组出力的不确定性;然后将P2G-CCS设备添加到该模型中。通过Cplex求解器对模型进行求解,分析证明本文提出的模型能够在降低系统碳排放的同时有效节约运行成本,具有合理性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Carbon Economic Dispatch of P2G-CCS Integrated Energy System Considering Wind-Solar Uncertainty
In order to improve renewable energy consumption, achieve low carbon emissions and promote the development of integrated energy systems, this paper proposes a low carbon economic model for integrated energy systems that considers wind-solar uncertainty and P2G-CCS (power to gas and carbon capture system, P2G-CCS) coupling. The uncertainty of the wind turbine and PV output is expressed as an uncertainty interval, and the uncertainty of the wind turbine and PV output is determined by using robust optimization; then the P2G-CCS equipment is added to this model. The model is solved by the Cplex solver, and the analysis proves that the model proposed in this paper can reduce the carbon emission of the system while effectively saving the operation cost, which is reasonable and practical.
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