上海交通大学学报

上海交通大学学报 >

2024 , Vol. 58 >Issue 10: 1513 - 1523

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.059

新型电力系统与综合能源

基于增强型Benders分解的区域综合能源系统联合规划

  • 刘炳文 ,
  • 吴雄 ,
  • 曹滨睿 ,
  • 麻淞 ,
  • 何雯雯
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  • 西安交通大学 电气工程学院,西安 710054
刘炳文(1998—),硕士生,从事综合能源系统规划与调度研究.
吴 雄,副教授,博士生导师;E-mail:wuxiong@mail.xjtu.edu.cn.

收稿日期: 2023-02-20

  修回日期: 2023-07-26

  录用日期: 2023-07-31

  网络出版日期: 2023-09-05

基金资助

国家重点研发计划(2022YFB2403100);国家电网有限公司科技项目(5108-202218280A-2-236-XG)

收起

Joint Planning of Regional Integrated Energy System Based on Enhanced Benders Decomposition

  • LIU Bingwen ,
  • WU Xiong ,
  • CAO Binrui ,
  • MA Song ,
  • HE Wenwen
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  • School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710054, China

Received date: 2023-02-20

  Revised date: 2023-07-26

  Accepted date: 2023-07-31

  Online published: 2023-09-05

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摘要

随着能源交易的逐步市场化,区域综合能源系统(RIES)内部将形成综合能源服务商(IESP)和用户聚合商(UA)等多类经济实体,如何在保护隐私的情况下协调各方参与联合规划,制定全局最优的规划方案成为RIES规划面临的新挑战.首先,明确电-气-热耦合RIES的结构,并从IESP、UA和电-气-热网络3个方面构建数学模型.其次,以经济性最优为目标提出考虑IESP和多个UA的RIES联合规划模型.再次,出于对各实体隐私保护的考虑,采用基于增强型Benders算法的分布式求解方法,以适应含非凸子问题的联合规划问题.最后,通过对比4组算例分析联合规划方案在经济性和能源利用效率方面的优势,同时验证了所提分布式算法良好的收敛性.

关键词： 区域综合能源系统; 联合规划; 增强型Benders分解; 分布式求解; 隐私保护

本文引用格式

刘炳文 , 吴雄 , 曹滨睿 , 麻淞 , 何雯雯 . 基于增强型Benders分解的区域综合能源系统联合规划[J]. 上海交通大学学报, 2024 , 58(10) : 1513 -1523 . DOI: 10.16183/j.cnki.jsjtu.2023.059

Abstract

With the gradual marketization of energy trading, different economic entities such as the integrated energy service provider (IESP) and user aggregators (UAs) will form within the regional integrated energy system (RIES). The coordination of all entities to participate in joint planning for a globally optimal planning scheme while protecting privacy has posed a new challenge for RIES planning. First, the structure of the coupled electrical-gas-thermal RIES is clarified in this paper, and a mathematical model is constructed from IESP, UA, and electrical-gas-thermal network. Then, a RIES joint planning model considering IESP and multiple UAs is proposed with the objective of economical optimization. Afterwards, in order to adapt to the non-convexity of the sub-problem of the joint planning problem, the enhanced Benders algorithm is proposed to realize the distributed solution of the model, which protects the privacy of all entities to the greatest extent. Finally, the advantages of the joint planning scheme in terms of economy and energy efficiency are analyzed by comparing four sets of cases, and the good convergence of the proposed distributed algorithm is verified.

Key words： regional integrated energy system (RIES); joint planning; enhanced Benders decomposition; distributed solution; privacy protection

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