上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (4): 422-431.doi: 10.16183/j.cnki.jsjtu.2021.513

所属专题: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑经济性与碳排放的电-气综合能源系统多目标规划

朱海南1(), 王娟娟1, 陈兵兵1, 张厚望2, 陈健2, 吴秋伟3   

  1. 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
  • 收稿日期:2021-12-16 修回日期:2022-01-06 接受日期:2022-02-07 出版日期:2023-04-28 发布日期:2023-05-05
  • 作者简介:朱海南(1987-),高级工程师,博士,从事电网运行与控制研究;E-mail:hainanzhu@mail.sdu.edu.cn.
  • 基金资助:
    国网山东省电力公司科技项目(520604200003);国家重点研发计划(2018YFA0702200)

Multi-Objective Planning of Power-Gas Integrated Energy System Considering Economy and Carbon Emission

ZHU Hainan1(), WANG Juanjuan1, CHEN Bingbing1, ZHANG Houwang2, CHEN Jian2, WU Qiuwei3   

  1. 1. State Grid Weifang Power Supply Company, Weifang 261000, Shandong, China
    2. School of Electrical Engineering, Shandong University, Jinan 250061, China
    3. Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
  • Received:2021-12-16 Revised:2022-01-06 Accepted:2022-02-07 Online:2023-04-28 Published:2023-05-05

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.

关键词: 综合能源, 多目标, 扩展规划, 低碳转型

Abstract:

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.

Key words: integrated energy, multi-objective, expansion planning, low-carbon transformation

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