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作 者:朱海南 王娟娟 陈兵兵 张厚望 陈健[2] 吴秋伟 ZHU Hainan;WANG Juanjuan;CHEN Bingbing;ZHANG Houwang;CHEN Jian;WU Qiuwei(State Grid Weifang Power Supply Company,Weifang 261000,Shandong,China;School of Electrical Engineering,Shandong University,Jinan 250061,China;Department of Electrical Engineering,Technical University of Denmark,2800 Kgs.Lyngby,Denmark)
机构地区:[1]国网山东省电力公司潍坊供电公司,山东潍坊261000 [2]山东大学电气工程学院,济南250061 [3]丹麦科技大学电气工程学院,丹麦灵比2800
出 处:《上海交通大学学报》2023年第4期422-431,共10页Journal of Shanghai Jiaotong University
基 金:国网山东省电力公司科技项目(520604200003);国家重点研发计划(2018YFA0702200)。
摘 要:为加速电-气系统快速、经济的低碳转型,构建了一种综合考虑经济性成本与碳排放量的电-气综合能源系统多目标随机优化规划模型.首先建立电-气网络与相关设备的数学模型,并运用场景法表征电、气负荷与光伏出力的不确定性.其次建立综合考虑系统经济性成本和碳排放量两个指标的混合整数二次约束规划(MIQCP)模型,对电网馈线、气网管道、变电站、配气站、燃气机组、电转气装置、光伏及储能装置进行统筹规划.最后,构建算例验证模型的可行性及有效性.结果表明:在不同的目标函数权重选择下,模型可以充分考虑电-气网络线路与多种综合能源设备间的耦合关系,获得整体最优的规划方案.In order to accelerate the rapid and economic low-carbon transformation of the power-gas system,a multi-objective stochastic optimization programming model for the whole equipment of the power-gas system was established,which comprehensively considered the economic cost and carbon emissions.First,the mathematical model of the electric-gas network and related equipment was established,and the uncertainty characteristics of the electric and gas loads and photovoltaic output were analyzed by using the scenario method.Next,a mixed-integer quadratically constrained programming(MIQCP)model considering the economic cost and carbon emissions of the system was established.An overall planning was made for power feeders,gas network pipelines,substations,gas distribution stations,gas units,power-to-gas devices,photovoltaic,and energy storage devices.Finally,a numerical example was built to verify the feasibility and effectiveness of the model.The results show that the model can fully consider the coupling relationship between power-gas network lines and a variety of comprehensive energy equipment under different weight choices of objective function,and obtain the overall optimal planning scheme.
分 类 号:TM715[电气工程—电力系统及自动化]
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