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基于有限理性的集中供热耦合绿电调峰系统运行优化

周勇 沙学丽 刘艳峰 李翔

中国电力2026,Vol.59Issue(6):76-88,13.
中国电力2026,Vol.59Issue(6):76-88,13.DOI:10.11930/j.issn.1004-9649.202601048

基于有限理性的集中供热耦合绿电调峰系统运行优化

Operation optimization of central heating system coupled with green power peak-shaving based on bounded rationality

周勇 1沙学丽 2刘艳峰 3李翔2

作者信息

  • 1. 西安建筑科技大学 管理学院,陕西 西安 710055||绿色建筑全国重点实验室,陕西 西安 710055
  • 2. 西安建筑科技大学 管理学院,陕西 西安 710055
  • 3. 绿色建筑全国重点实验室,陕西 西安 710055||西安建筑科技大学 建筑设备科学与工程学院,陕西 西安 710055
  • 折叠

摘要

Abstract

To address the pronounced problems of long regulation time lag and severe indoor temperature unevenness in central heating,the central-heating peak-shaving systems achieves regulation optimization through a combined heating mode of basic central-heating guarantee and fluctuating supplement by the peak shaving system,and has become one of the prevailing heating configurations in northern China.Meanwhile,the central-heating peak-shaving system coupled with distributed green power can facilitate building-grid interaction,enhance renewable power accommodation,and satisfy residents'personalized thermal comfort demands.Therefore,this paper proposes a central-heating peak-shaving system coupled with distributed green power and oriented toward personalized heat demands,and incorporates the bounded rationality of residents participating in central-heating demand response into the modeling.A cost-comfort model is employed to characterize the demand-response behaviors of heterogeneous users,and a bi-level pricing and scheduling optimization framework for heating enterprises and users is established to achieve coordinated optimization of green power accommodation and heating benefits.Taking a residential community in Xi'an for case study,the results show that the daily average accommodated green power reaches 10~18 MW,the operating cost of the heating enterprises is reduced by 36.5%,and the user temperature compliance rate is increased from 2.9%to 90.3%.The proposed approach can alleviate the scheduling deviation caused by the idealized assumption of residents'demand response,improve system economy and terminal comfort guarantee level,and provide a reference for the participation of green power in heating peak shaving and the design of differentiated pricing mechanisms.

关键词

集中供热调峰系统/分布式绿电/双层优化调度/有限理性

Key words

central heating peak-shaving system/distributed green power/bi-level optimal scheduling/bounded rationality

引用本文复制引用

周勇,沙学丽,刘艳峰,李翔..基于有限理性的集中供热耦合绿电调峰系统运行优化[J].中国电力,2026,59(6):76-88,13.

基金项目

国家自然科学基金区域联合重点基金资助项目(U23A20657) (U23A20657)

教育部基础学科和交叉学科突破计划项目(JYB2025XDXM901) (JYB2025XDXM901)

陕西高校青年创新团队项目(2023-2026). This work is supported by National Natural Science Foundation of China Regional Joint Key Fund(No.U23A20657),Break-through Program for Basic and Interdisciplinary Disciplines of the Ministry of Education of China(No.JYB2025XDXM901),and Youth Innovation Team of Shaanxi Universities(2023-2026). (2023-2026)

中国电力

1004-9649

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