上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 2: 175 - 185

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.238

新型电力系统与综合能源

计及源-荷不确定性的综合能源系统多目标鲁棒优化调度

  • 李建林 ,
  • 张则栋 ,
  • 梁策 ,
  • 曾飞
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  • 1.北方工业大学 北京未来电化学储能系统集成技术创新中心,北京 100144
    2.国网江苏省电力有限公司电力科学研究院,南京 211103
李建林(1976—),教授,博士生导师,主要从事大规模储能技术方面的研究工作;E-mail:dkyljl@163.com.

收稿日期: 2023-06-12

  修回日期: 2023-08-01

  录用日期: 2023-09-01

  网络出版日期: 2023-09-15

基金资助

国家电网公司科学技术项目(5400-202318247A-1-1-ZN)

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Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty

  • LI Jianlin ,
  • ZHANG Zedong ,
  • LIANG Ce ,
  • ZENG Fei
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  • 1. Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration, North China University of Technology, Beijing 100144, China
    2. State Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, China

Received date: 2023-06-12

  Revised date: 2023-08-01

  Accepted date: 2023-09-01

  Online published: 2023-09-15

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摘要

在新型电力系统建设下,电-热-氢多能源互联互通的综合能源系统将成为重要发展方向之一,但其全寿命周期运营经济性和能源供应可靠性受系统初始设备容量和日运行方案影响.因此,提出一种考虑源-荷不确定性的多目标两阶段鲁棒优化研究方法.建立了包含燃料电池、电解槽等装置的电-热-氢并网运行模型,采用分层拉丁超立方体抽样和Euclidean距离的场景削减方法增添源-荷不确定性因素,并采用两阶段鲁棒优化算法进行求解.算例对比分析了4类系统规定运行条件下设备投资等年值成本和典型日运行成本,验证所提方法可有效缓解源-荷不确定性对综合能源系统配置和运行规划的影响,研究成果有望为未来综合能源系统建设和运营提供新的思路.

关键词： 源-荷不确定性; 综合能源系统; 两阶段鲁棒优化; 氢能; 燃料电池

本文引用格式

李建林 , 张则栋 , 梁策 , 曾飞 . 计及源-荷不确定性的综合能源系统多目标鲁棒优化调度[J]. 上海交通大学学报, 2025 , 59(2) : 175 -185 . DOI: 10.16183/j.cnki.jsjtu.2023.238

Abstract

Under the construction of a new power system, the integrated energy system with electricity-thermal-hydrogen interconnection will become one of the important development directions, but its whole life cycle operation economy and energy supply reliability are affected by the initial equipment capacity and daily operation scheme of the system. Therefore, a multi-objective two-stage robust optimization method is proposed, taking into account the source-load uncertainty. A grid-connected electric-thermal-hydrogen operation model including fuel cells and electrolytic cells is developed, and the source-load uncertainty is added by using the hierarchical Latin hypercube sampling and Euclidean distance scenario reduction methods, and solved by a two-stage robust optimization algorithm. The results show that the proposed method can effectively mitigate the impact of source-load uncertainty on the configuration and operation planning of the integrated energy system, which is expected to provide new ideas for the construction and operation of integrated energy systems in the future.

Key words： source-load uncertainty; integrated energy system; two-stage robust optimization; hydrogen energy; fuel cell

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