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

ZHOU Yong; SHA Xueli; LIU Yanfeng; LI Xiang

doi:10.11930/j.issn.1004-9649.202601048

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

更新时间：2026-07-01

- Operation optimization of central heating system coupled with green power peak-shaving based on bounded rationality
- Vol. 59, Issue 6, Pages: 76-88(2026)
- 作者机构：
  
  1. 西安建筑科技大学管理学院,陕西,西安,710055
  2. 绿色建筑全国重点实验室,陕西,西安,710055
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202601048
  CLC：
- Online First：22 June 2026，
  
  Published：2026
- 稿件说明：
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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.

ZHOU Yong, SHA Xueli, LIU Yanfeng, et al. Operation optimization of central heating system coupled with green power peak-shaving based on bounded rationality[J]. 2026, 59(6): 76-88.
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. DOI： 10.11930/j.issn.1004-9649.202601048.

ZHOU Yong, SHA Xueli, LIU Yanfeng, et al. Operation optimization of central heating system coupled with green power peak-shaving based on bounded rationality[J]. 2026, 59(6): 76-88. DOI： 10.11930/j.issn.1004-9649.202601048.

摘要

针对集中供热调节时滞性强、室内温度热不均匀性大等问题，集中供热调峰系统通过集中供热基础保障、调峰系统波动补充的组合供热形式实现调节优化，成为目前北方供热的主要系统形式之一。同时，耦合分布式绿电的集中供热调峰系统可促进建筑与电网的交互、提升绿电消纳，并满足居民个性化热舒适需求。为此，提出一种面向个性化供热需求、耦合分布式绿电的集中供热调峰系统，并将居民参与集中供热需求响应的有限理性纳入建模。采用“费用-舒适”模型刻画异质性用户供热需求响应特性，构建企业、用户双层定价与调度优化框架，实现了绿电消纳与供热收益的协同优化。以西安市某小区为算例进行仿真，结果表明，绿电日均消纳功率达到10~18 MW，供热企业运行成本降低36.5%，用户温度达标率由2.9%提升至90.3%。该方法可缓解居民理想化需求响应假设带来的调度偏差，提高系统经济性与末端舒适保障水平，为绿电参与供热调峰及差异化定价机制设计提供参考。

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

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