阶梯式碳交易下含氢综合园区的双层优化配置OA
Dual-layer Optimal Configuration for Hydrogen-containing Integrated Parks Under Stepwise Carbon Trading
为更好地优化综合园区内部运行的低碳性和经济性,提出一种阶梯碳交易下含氢综合园区的双层优化配置模型.首先,设立储热和储氢系统作为单独的储能投资方,并且结合阶梯式碳交易模型与园区进行能量之间的转换;其次,上层以综合能源园区日运行能量消耗作为目标函数,下层以独立氢、热储能规划成本作为目标函数,搭建容量双层优化配置模型,采用 KKT条件对双层模型进行整合,并利用大 M法进行线性化后,使用求解器 Gurobi进行求解.算例结果表明,将储能作为独立投资方参与园区运行优化,能够有效降低系统运行产生的碳排放,同时在减少园区建设成本的基础上增加储能收益,实现了低碳性与经济性的双重目标.
A dual-layer optimization configuration model for hydrogen-containing comprehensive integrated parks under a steppedwise carbon trading scheme has been is proposed to better enhance optimize the low-carbon and economic operation within the comprehensive park.Firstly,heat storage and hydrogen storage systems are set up as individual energy storage investors,which are integrated with the stepwise carbon trading model to achieve and energy conversion is carried out by combining the stepped carbon trading model with the park.Secondly,the daily operation energy consumption of the comprehensive integrated energy park is taken as the upper objective function,and while the lower level is selected taken as the independent hydrogen and thermal energy storage planning cost as the objective function.In this way,to build a double-layer capacity optimization configuration model is established.The KKT constraints are used utilized to integrate the double-layer model and the large M method is employed for linearizedation,and then.Subsequently,the solver Gurobi is used to solve the problem.The calculation results show demonstrate that the energy storage as a separate sole investor to optimize the operation of the park can effectively reduce the carbon emissions released by during the system operation.In addition,it can economically reduce the construction costs of the park system while increasing energy storage revenues,thereby achieving the goals of both low-carbon and economic efficiency.
侯锡春;刘立群
太原科技大学 电子信息工程学院,山西省 太原市 030024太原科技大学 电子信息工程学院,山西省 太原市 030024
信息技术与安全科学
综合能源系统阶梯式碳交易氢储能需求响应优化配置
integrated energy system(IES)stepwise carbon tradinghydrogen energy storagedemand responseoptimal configuration
《现代电力》 2026 (3)
484-491,8
山西省基础研究计划(面上项目)(202203021221153).Project Supported by Shanxi Provincial Basic Research Program(General Project)(202203021221153).
评论