中国电力 ›› 2023, Vol. 56 ›› Issue (11): 185-196.DOI: 10.11930/j.issn.1004-9649.202211028

• 新能源 • 上一篇    下一篇

考虑中长期碳减排约束的区域综合能源系统多阶段动态规划

王小飞(), 任洪波(), 吴琼(), 李琦芬()   

  1. 上海电力大学 能源与机械工程学院,上海 201306
  • 收稿日期:2022-11-08 出版日期:2023-11-28 发布日期:2023-11-28
  • 作者简介:王小飞(1997—),女,硕士研究生,从事综合能源系统中长期规划优化研究,E-mail: 1098865134@qq.com
    任洪波(1982—),男,博士,教授,从事新能源与综合能源系统研究,E-mail: tjrhb@163.com
    吴琼(1987—),女,通信作者,博士,高级工程师,从事多能互补综合能源系统优化评价及利益分配等研究,E-mail: wuqiongrff@163.com
    李琦芬(1973—),女,博士,教授,从事综合能源系统规划设计研究,E-mail: qifenli@163.com
  • 基金资助:
    国家电网有限公司科技项目(52094021000C)。

Multi-stage Dynamic Plan of Regional Integrated Energy System Considering Medium and Long-Term Carbon Emission Reduction Constraints

Xiaofei WANG(), Hongbo REN(), Qiong WU(), Qifen LI()   

  1. College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 201306, China
  • Received:2022-11-08 Online:2023-11-28 Published:2023-11-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (No.52094021000C).

摘要:

在长时间尺度下,内部技术革新、外部环境影响使得综合能源系统的运行场景日益复杂。立足区域能源资源的经济优化配置,兼顾碳减排要求,提出考虑中长期碳减排约束的综合能源系统多阶段动态规划模型。模型可预设灵活的阶段划分规则和不同的碳减排模式,以规划周期内区域整体供能成本最低为目标,采用混合整数线性规划方法进行求解,得到最优设备配置方案。同时,引入学习曲线模型预估规划期内设备成本变化趋势,并考虑氢能、碳交易等新兴碳减排手段。针对典型算例的仿真结果表明:规划阶段划分数的增加可实现更有效的供需动态匹配,系统经济性和减排效果均得到有效提升。同时,不同碳减排约束模式将导致差异化的碳排放路径,需要结合区域减碳目标进行减排约束的合理设置。

关键词: 综合能源系统, 分阶段规划, 中长期碳减排, 优化配置, 碳交易

Abstract:

On a long-term scale, internal technological innovation and external environmental impact make the operation scenario of an integrated energy system increasingly complex. Based on the economic optimal configuration of regional energy resources and carbon emission reduction requirements, this paper proposes a multi-stage dynamic planning model for integrated energy systems considering medium and long-term carbon emission reduction constraints. The model can preset flexible stage division rules and different carbon emission reduction modes, and the optimal equipment allocation scheme is obtained by using a mixed integer linear programming method with the objective of minimizing the overall regional energy supply cost in the planning cycle. At the same time, a learning curve model is introduced to predict the change trend of equipment cost during the planning cycle, and new carbon reduction means such as hydrogen energy and carbon sink are considered. The simulation results for typical cases show that the increase in the number of planning stages achieves more effective dynamic matching of supply and demand, and the system economy and emission reduction effect are effectively improved. At the same time, different carbon emission reduction constraint patterns will lead to different carbon emission paths, which need to consider regional carbon reduction targets for the reasonable setting of emission reduction constraints.

Key words: integrated energy system, multi-stage planning, medium and long-term carbon reduction, optimal configuration, carbon trading