中国电力 ›› 2025, Vol. 58 ›› Issue (7): 15-23.DOI: 10.11930/j.issn.1004-9649.202410031

• 规模化综合能源系统规划与运行技术 • 上一篇    下一篇

基于容量价值函数的综合能源系统多元资源协同配置

郭政麟1(), 陈舒童2(), 田嘉雯1(), 陈峦2(), 郭中杰2(), 胡维昊2(), 付强1()   

  1. 1. 国家电投集团西南能源研究院有限公司,四川 成都 610213
    2. 电子科技大学 机械与电气工程学院,四川 成都 611731
  • 收稿日期:2024-10-10 发布日期:2025-07-30 出版日期:2025-07-28
  • 作者简介:
    郭政麟(1990),男,硕士,从事电力系统及综合能源系统研究,E-mail:lyng1121@126.com
    陈舒童(2001),女,硕士研究生,从事电力系统规划研究,E-mail:1042534317@qq.com
    田嘉雯(1993),女,工程师,从事综合能源系统规划设计研究,E-mail:171901483@qq.com
    付强(1991),男,通信作者,博士,从事分布式智能电网研究,E-mail:fuqiang1121@foxmail.com
  • 基金资助:
    国家自然科学基金资助项目(52407084);国家电投集团四川公司科技项目(XNNY-WW-KJ-2023-03);中国国家资助博士后研究人员项目(GZB20240105)。

Allocation of Multiple Resources for Integrated Energy System Based on Capacity Value Function

GUO Zhenglin1(), CHEN Shutong2(), TIAN Jiawen1(), CHEN Luan2(), GUO Zhongjie2(), HU Weihao2(), FU Qiang1()   

  1. 1. State Power Investment Corporation Southwest Energy Research Institute Co., Ltd., Chengdu 610213, China
    2. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2024-10-10 Online:2025-07-30 Published:2025-07-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.52407084), Science and Technology Project of Sichuan Corporation of State Power Investment Corporation Limited (No.XNNY-WW-KJ-2023-03), Postdoctoral Fellowship Program of CPSF (No.GZB20240105).

摘要:

综合能源系统(integrated energy system,IES)是实现“双碳”目标的重要载体,而经济、高效的多元资源协同配置是实现综合能源行业持续健康发展的前提。目前,IES配置模型多以成本最小为优化目标,而对投资回报率的考量较少,这可能导致成本回收期延长,进而降低资金周转效率并增加财务风险。有鉴于此,首先,提出IES容量价值函数,该函数以待配置资源容量为自变量,以系统运行成本降低量为因变量,实现多元资源容量价值的解析表达。然后,建立一种基于分式规划理论的多元资源协同配置模型,该模型以最大化投资收益率为目标,旨在构建具有最佳成本效益的配置策略。进一步地,通过变量替换技术将难以求解的分式规划问题线性化,并提出一种分解迭代算法,实现容量价值函数的外逼近与多元资源协同配置策略的高效求解。最后,通过仿真分析以及与成本最小法的对比,验证所提方法的有效性。

关键词: 综合能源系统, 容量配置, 成本回收, 投资回报率, 分式规划模型

Abstract:

The integrated energy system is an important carrier for realizing the goal of "double carbon", and economic and efficient collaborative allocation of multiple resources is the prerequisite for realizing sustainable and healthy development of the integrated energy industry. At present, the integrated energy system configuration models mainly aim to minimize costs but seldom consider return on investment. This may prolong the payback period, which leads to lower capital turnover efficiency and increased financial risks. Consequently, this paper firstly proposed the capacity value function of the integrated energy system, which takes the allocated resource capacity as the independent variable and the reduced running cost as the dependent variable to realize the analytic expression of the multi-resource capacity value. Then, a multi-resource collaborative allocation model based on fractional planning theory was established, which aims to maximize the return on investment and construct the best cost-effective allocation strategy. Further, the fractional planning problem, which is difficult to solve, was linearized by the variable substitution technique, and a decomposition iteration algorithm was proposed, to realize the outer approximation of the capacity value function and the efficient solution of the multi-resource collaborative allocation strategy. Finally, by simulation analysis and comparing with the cost minimization method, the effectiveness of the proposed method is verified.

Key words: integrated energy system, capacity allocation, cost recovery, return on investment, fractional planning model


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