考虑虚拟储能的建筑综合能源系统双层优化调度策略

doi:10.16183/j.cnki.jsjtu.2024.036

上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (1): 61-73.doi: 10.16183/j.cnki.jsjtu.2024.036

• 新型电力系统与综合能源 • 上一篇下一篇

考虑虚拟储能的建筑综合能源系统双层优化调度策略

刘东林¹, 周霞¹(), 戴剑丰², 解相朋¹, 汤奕³, 李隽诗³

¹ 南京邮电大学碳中和先进技术研究院, 南京 210023
² 南京邮电大学自动化学院、人工智能学院, 南京 210023
³ 东南大学电气工程学院, 南京 210096

收稿日期:2024-01-24 修回日期:2024-04-23 接受日期:2024-06-06 出版日期:2026-01-28 发布日期:2026-01-27
通讯作者: 周霞 E-mail:zhouxia@njupt.edu.cn.
作者简介:刘东林(1998—),硕士生,从事低碳建筑能源系统研究.
基金资助:
国家自然科学基金(52377085)

Bi-Level Optimization Scheduling Strategy for Building Integrated Energy System Considering Virtual Energy Storage

LIU Donglin¹, ZHOU Xia¹(), DAI Jianfeng², XIE Xiangpeng¹, TANG Yi³, LI Juanshi³

¹ Institute of Carbon Neutral Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
² College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
³ School of Electrical Engineering, Southeast University, Nanjing 210096, China

Received:2024-01-24 Revised:2024-04-23 Accepted:2024-06-06 Online:2026-01-28 Published:2026-01-27
Contact: ZHOU Xia E-mail:zhouxia@njupt.edu.cn.

1. 2024-036-附录.pdf.pdf(4111KB)

摘要/Abstract

摘要：

建筑综合能源系统是实现低碳建筑的有效途径,为进一步挖掘其需求侧可调节潜力与碳减排潜力,合理分配建筑综合能源系统中各主体的利益,提出一种主从博弈下考虑虚拟储能的建筑综合能源系统双层优化调度策略.首先,在博弈模型内考虑建筑供冷和供热系统的热惯性以及冷热负荷的柔性,以发挥建筑虚拟储能功能,提高系统灵活性.然后,利用遗传算法求解上层能源运营商定价模型,更新上层领导者的购售电价,下层问题调用CPLEX求解器求解,优化其设备出力、需求响应与购售电计划.最后,算例验证了所提模型能够有效提高建筑综合能源系统的经济性和低碳性.

关键词: 建筑综合能源系统, 低碳建筑, 主从博弈, 建筑虚拟储能, 优化调度

Abstract:

Integrated energy systems in buildings are an effective means to achieve low-carbon buildings. To further tap into their demand-side flexibility adjustable potential and carbon reduction potential, and reasonably allocate the interests of various entities in the building integrated energy system, a bi-level optimization scheduling strategy for building integrated energy system considering virtual energy storage in buildings under Stackelberg game framework is proposed. First, the thermal inertia of the cooling and heating system inside the building and the flexibility of the cooling and heating load are considered to leverage the virtual energy storage function of the building and improve system flexibility in the game model. Then, the genetic algorithm is used to solve the upper-level pricing model of energy operators, updating the purchase and sale electricity prices set by upper-level leaders, while the CPLEX solver is used to solve the lower-level problem, optimizing equipment output, demand response, and electricity trading plans. Finally, the proposed model is verified by case studies that it can effectively improve the economic performance and low-carbon characteristics of building integrated energy systems.

Key words: building integrated energy system (BIES), low-carbon building, Stackelberg game, virtual energy storage in bulidings, optimal dispatch

中图分类号:

TM732

刘东林, 周霞, 戴剑丰, 解相朋, 汤奕, 李隽诗. 考虑虚拟储能的建筑综合能源系统双层优化调度策略[J]. 上海交通大学学报, 2026, 60(1): 61-73.

LIU Donglin, ZHOU Xia, DAI Jianfeng, XIE Xiangpeng, TANG Yi, LI Juanshi. Bi-Level Optimization Scheduling Strategy for Building Integrated Energy System Considering Virtual Energy Storage[J]. Journal of Shanghai Jiao Tong University, 2026, 60(1): 61-73.

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j	α_j	β_j	γ_j	θ_j	ϕ_j	ω_j
0		0.2112	0.3317
1	0.5721	-0.0243	-0.3169	0.6991	0.1011	0.1998
2	0.0607	-0.0104	0.1741

考虑虚拟储能的建筑综合能源系统双层优化调度策略

Bi-Level Optimization Scheduling Strategy for Building Integrated Energy System Considering Virtual Energy Storage

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参考文献 28

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设备	容量/kW	效率/%	爬坡率/%
燃气轮机	40	26	20
燃气锅炉	40	85	20
电制冷机	30	80
吸收式制冷机	40	33
储能装置	95	90
P2G装置	80	60
风机	预测值
光伏	预测值

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