上海交通大学学报

上海交通大学学报 >

2026 , Vol. 60 >Issue 1: 61 - 73

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2024.036

新型电力系统与综合能源

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 ,
  • 周霞 ,
  • 戴剑丰 ,
  • 解相朋 ,
  • 汤奕 ,
  • 李隽诗
展开
  • 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
刘东林(1998—),硕士生,从事低碳建筑能源系统研究.
周 霞,博士,副教授;E-mail:zhouxia@njupt.edu.cn.

收稿日期: 2024-01-24

  修回日期: 2024-04-23

  录用日期: 2024-06-06

  网络出版日期: 2024-06-25

基金资助

国家自然科学基金(52377085)

收起

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

  • LIU Donglin ,
  • ZHOU Xia ,
  • DAI Jianfeng ,
  • XIE Xiangpeng ,
  • TANG Yi ,
  • LI Juanshi
Expand
  • 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 date: 2024-01-24

  Revised date: 2024-04-23

  Accepted date: 2024-06-06

  Online published: 2024-06-25

Fold

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

本文引用格式

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 . DOI: 10.16183/j.cnki.jsjtu.2024.036

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

参考文献

[1] 邱迪, 刘东, 高飞, 等. 基于离散混合自动机的园区综合能源系统多模式建模与日前优化[J]. 中国电机工程学报, 2023, 43(1): 135-147.
  QIU Di, LIU Dong, GAO Fei, et al. Multi-scenario modeling and day-ahead optimization of park multiple energy system based on discrete hybrid automaton[J]. Proceedings of the CSEE, 2023, 43(1): 135-147.
[2] WANG Y D, HU J J, LIU N. Energy management in integrated energy system using energy-carbon integrated pricing method[J]. IEEE Transactions on Sustainable Energy, 2023, 14(4): 1992-2005.
[3] 褚旭, 鲍泽宏. 综合能源系统电力网架继电保护原理综述[J]. 上海交通大学学报, 2023, 57(4): 379-392.
  CHU Xu, BAO Zehong. Overview of protection principle of power grid in integrated energy system[J]. Journal of Shanghai Jiao Tong University, 2023, 57(4): 379-392.
[4] 李九阳, 陈立, 郭金鹏. 严寒地区被动式超低能耗建筑发展现状及前景展望[J]. 工业建筑, 2023, 53 (Sup.1): 31-33.
  LI Jiuyang, CHEN Li, GUO Jinpeng. Present situation and prospect of passive ultra-low energy consumption buildings in cold regions[J]. Industrial Construction, 2023, 53 (Sup.1): 31-33.
[5] 任炬光, 张力, 金立, 等. 考虑可再生能源消纳的建筑综合能源系统日前经济调度模型[J]. 工程科学与技术, 2023, 55(2): 160-170.
  REN Juguang, ZHANG Li, JIN Li, et al. Day-ahead economic dispatch model of building integrated energy systems considering the renewable energy consumption[J]. Advanced Engineering Sciences, 2023, 55(2): 160-170.
[6] SHARMA S, VERMA A, XU Y, et al. Robustly coordinated bi-level energy management of a multi-energy building under multiple uncertainties[J]. IEEE Transactions on Sustainable Energy, 2021, 12(1): 3-13.
[7] LOGGIA R, FLAMINI A, MASSACCESI A, et al. A case study of a renovation of a historical university department: The nearly zero-energy refurbished buildings[J]. IEEE Transactions on Industry Applications, 2022, 58(6): 6970-6980.
[8] ALYAMI S H, ALMUTLAQA A A, ALQAHTANY A M, et al. Likelihood of reaching zero energy building design in hot dry climate: Saudi Arabia[J]. IEEE Access, 2021, 9: 167054-167066.
[9] 黄子硕, 何桂雄, 闫华光, 等. 园区级综合能源系统优化模型功能综述及展望[J]. 电力自动化设备, 2020, 40(1): 10-18.
  HUANG Zishuo, HE Guixiong, YAN Huaguang, et al. Overview and prospect of optimization model function for community-scale integrated energy system[J]. Electric Power Automation Equipment, 2020, 40(1): 10-18.
[10] 胡博, 程欣, 邵常政, 等. 计及建筑热负荷弹性的综合能源系统调度方法[J]. 上海交通大学学报, 2023, 57(7): 803-813.
  HU Bo, CHENG Xin, SHAO Changzheng, et al. Optimal dispatch of integrated energy system based on flexibility of thermal load[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 803-813.
[11] JIN X L, WU Q W, JIA H J, et al. Optimal integration of building heating loads in integrated heating/electricity community energy systems: A bi-level MPC approach[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3): 1741-1754.
[12] BAHRAMARA S, SHEIKHAHMADI P, CHICCO G, et al. Modeling the microgrid operator participation in day-ahead energy and reserve markets consi-dering stochastic decisions in the real-time market[J]. IEEE Transactions on Industry Applications, 2022, 58(5): 5747-5762.
[13] SCHICK C, KLEMPP N, HUFENDIEK K. Role and impact of prosumers in a sector-integrated energy system with high renewable shares[J]. IEEE Tran-sactions on Power Systems, 2022, 37(4): 3286-3298.
[14] 张虹, 张瑞芳, 周建丞, 等. 基于主从博弈和混合碳政策的园区综合能源系统低碳经济调度[J]. 太阳能学报, 2023, 44(9): 9-17.
  ZHANG Hong, ZHANG Ruifang, ZHOU Jiancheng, et al. Low-carbon economic dispatch of integrated energy system in campus based on Stackelberg game and hybrid carbon policy[J]. Acta Energiae Solaris Sinica, 2023, 44(9): 9-17.
[15] 王瑞, 程杉, 徐建宇, 等. 基于主从博弈和混合需求响应的能量枢纽多时间尺度优化调度策略[J]. 电力自动化设备, 2023, 43(1): 32-40.
  WANG Rui, CHENG Shan, XU Jianyu, et al. Multi-time scale optimal scheduling strategy of energy hub based on master-slave game and hybrid demand response[J]. Electric Power Automation Equipment, 2023, 43(1): 32-40.
[16] 桑国臣, 程芳玥, 刘瑶, 等. 围护结构太阳辐射吸收系数对太阳能采暖建筑外墙热性能的影响[J]. 太阳能学报, 2023, 44(12): 33-40.
  SANG Guochen, CHENG Fangyue, LIU Yao, et al. Influence of solar absorptivity of building envelope on thermal performance of exterior wall of solar heating building[J]. Acta Energiae Solaris Sinica, 2023, 44(12): 33-40.
[17] 朱新荣, 梁嘉, 邱杨, 等. 外保温复合墙体热惰性指标修正研究[J]. 太阳能学报, 2023, 44(3): 482-488.
  ZHU Xinrong, LIANG Jia, QIU Yang, et al. Revising study on thermal inertia index according to external insulation composite wall[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 482-488.
[18] 黄旭, 祖国强, 司威, 等. 配电台区灵活资源多时间尺度优化调度方法: 以含虚拟储能的建筑微网为例[J]. 储能科学与技术, 2024, 13(2): 568-577.
  HUANG Xu, ZU Guoqiang, SI Wei, et al. Multi-time-scale optimal scheduling method for flexible resources at distribution stations: A case study of building microgrid considering virtual storage system[J]. Energy Storage Science & Technology, 2024, 13(2): 568-577.
[19] 李东东, 陈天旭, 沈运帷, 等. 基于联合虚拟储能系统的海岛微电网协同优化策略[J]. 中国电机工程学报, 2023, 43(20): 7842-7856.
  LI Dongdong, CHEN Tianxu, SHEN Yunwei, et al. Collaborative optimization of island microgrid based on joint virtual energy storage system strategy[J]. Proceedings of the CSEE, 2023, 43(20): 7842-7856.
[20] 穆云飞, 唐志鹏, 吴志军, 等. 计及虚拟储能的电-水-热综合能源系统日前优化调度方法[J]. 电力系统自动化, 2023, 47(24): 11-21.
  MU Yunfei, TANG Zhipeng, WU Zhijun, et al. Optimal day-ahead scheduling method for electricity-water-heat integrated energy system considering virtual energy storage[J]. Automation of Electric Power Systems, 2023, 47(24): 11-21.
[21] MITRA J, NGUYEN N. Grid-scale virtual energy storage to advance renewable energy penetration[J]. IEEE Transactions on Industry Applications, 2022, 58(6): 7952-7965.
[22] 张岩, 李瑞芳, 赵健, 等. 考虑碳配额及综合需求响应双重激励的综合能源系统多主体博弈协同优化[J]. 可再生能源, 2024, 42(3): 388-397.
  ZHANG Yan, LI Ruifang, ZHAO Jian, et al. Multi agent game collaborative optimization of integrated energy system considering carbon quota and integra-ted demand response[J]. Renewable Energy Resources, 2024, 42(3): 388-397.
[23] 高波, 李飞, 史轮, 等. 基于实时碳强度评估的社区综合能源系统低碳互动管理策略[J]. 上海交通大学学报, 2025, 59(5): 580-591.
  GAO Bo, LI Fei, SHI Lun, et al. A low-carbon interactive management strategy for community integrated energy system based on real-time carbon intensity assessment[J]. Journal of Shanghai Jiao Tong University, 2025, 59(5): 580-591.
[24] HA T, XUE Y, LIN K D, et al. Optimal operation of energy hub based micro-energy network with integration of renewables and energy storages[J]. Journal of Modern Power Systems & Clean Energy, 2022, 10(1): 100-108.
[25] 尚梦琪, 高红均, 贺帅佳, 等. 考虑阶梯碳奖惩和综合需求响应的楼宇低碳规划[J]. 上海交通大学学报, 2024, 58(6): 926-940.
  SHANG Mengqi, GAO Hongjun, HE Shuaijia, et al. Low-carbon planning for buildings considering ladder carbon reward and punishment and integrated demand response[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 926-940.
[26] 刘铠诚, 王关涛, 白星振, 等. 基于主从博弈的园区级综合能源系统动态定价与低碳经济调度[J]. 高电压技术, 2024, 50(4): 1436-1445.
  LIU Kaicheng, WANG Guantao, BAI Xingzhen, et al. Dynamic pricing and low-carbon economic dispatch of integrated energy system based on Stackelberg game[J]. High Voltage Engineering, 2024, 50(4): 1436-1445.
[27] 陈晚晴, 项康利, 林晓凡, 等. 基于主从博弈的综合能源系统电氢碳运行优化[J]. 电力系统及其自动化学报, 2023, 35(11): 143-151.
  CHEN Wanqing, XIANG Kangli, LIN Xiaofan, et al. Optimization of electricity, hydrogen and carbon operation in integrated energy system based on master-slave game[J]. Proceedings of the CSU-EPSA, 2023, 35(11): 143-151.
[28] 高建伟, 黄宁泊, 高芳杰, 等. 基于改进信息间隙决策理论的考虑决策者风险态度的社区虚拟电厂经济-能源-环境调度策略选择[J]. 电力建设, 2024, 45(3): 39-57.
  GAO Jianwei, HUANG Ningbo, GAO Fangjie, et al. Selection of economics-energy-environment sche-duling strategy for a community virtual power plant considering decision-makers’ risk attitudes based on improved information gap decision theory[J]. Electric Power Construction, 2024, 45(3): 39-57.
Options
文章导航

/

〈 〉