段新会, 黄嵘, 齐传杰, 陈博文. 计及碳交易与需求响应的微能源网双层优化模型[J]. 太阳能学报, 2024, 45(3): 310-318. DOI: 10.19912/j.0254-0096.tynxb.2022-1711
引用本文: 段新会, 黄嵘, 齐传杰, 陈博文. 计及碳交易与需求响应的微能源网双层优化模型[J]. 太阳能学报, 2024, 45(3): 310-318. DOI: 10.19912/j.0254-0096.tynxb.2022-1711
Duan Xinhui, Huang Rong, Qi Chuanjie, Chen Bowen. BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 310-318. DOI: 10.19912/j.0254-0096.tynxb.2022-1711
Citation: Duan Xinhui, Huang Rong, Qi Chuanjie, Chen Bowen. BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 310-318. DOI: 10.19912/j.0254-0096.tynxb.2022-1711

计及碳交易与需求响应的微能源网双层优化模型

BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE

  • 摘要: 该文在微能源网的基础架构上,以全年总成本最低为目标函数,结合碳交易与需求响应构建微能源网双层优化配置模型。结合区域环境数据与年度典型日案例分析,优化模型得到最优规划配置以及在该配置下的各设备最优日运行出力调度情况,相比基础模型提高了可再生能源装机容量并获得了更高的碳排放权收益,通过需求响应调整用户侧灵活可控负荷,在保证可再生能源的消纳能力的前提下,有效节省了总成本。算例结果表明,该模型能够使微能源网在保证系统经济性的同时促进实现减碳目标,对MEG的前期规划设计有重要意义。

     

    Abstract: The global greenhouse effect is becoming more and more serious,and the construction and operation optimization of the micro energy grid plays an important role in realizing the goal of carbon reduction. This paper constructs a bi-level optimization configuration model for micro energy grids based on the basic architecture of micro energy grids,combining carbon trading and demand response with the objective function of minimizing the annual total cost. Combined with regional environmental data and annual typical day case analysis,the optimization model obtains the optimal planning configuration and the optimal daily operating output scheduling of each equipment under the configuration,which increases the installed capacity of renewable energy to obtain higher carbon emission right income compared with the basic model,and adjusts the flexible and controllable load of the customer side through demand response,which saves the total cost effectively under the premise of ensuring the capacity of renewable energy consumption. The results of the arithmetic example show that the model can enable the micro energy grid to promote the realization of carbon reduction goals while ensuring the system economy,which is important for the pre-planning and design of MEG.

     

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