Journal of Shandong University(Engineering Science) ›› 2025, Vol. 55 ›› Issue (2): 45-57.doi: 10.6040/j.issn.1672-3961.0.2024.113

• Electrical Engineering—Special Issue for Smart Energy (Chaired by Prof. ZHANG Hengxu) • Previous Articles     Next Articles

Intelligent building energy optimization considering user satisfaction

ZHENG Fangyuan1, CHEN Lizheng1*, WANG Wenkui1, ZHANG Hanyuan1, FAN Yingle2   

  1. ZHENG Fangyuan1, CHEN Lizheng1*, WANG Wenkui1, ZHANG Hanyuan1, FAN Yingle2(1. School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, Shandong, China;
    2. State Grid Xuzhou Power Supply Company, Xuzhou 221005, Jiangsu, China
  • Published:2025-04-15

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Abstract: To improve building energy efficiency, a low-carbon intelligent building energy optimization system was constructed in this study. The energy optimization system model for intelligent building was constructed. lighting and air conditioning loads were considered as flexible loads to participate in the optimal scheduling of the system, which increased the flexibility of system scheduling. In addition, bidirectional interaction between electric vehicles and intelligent buildings was enabled, and electricity could be transmitted by intelligent buildings to the utility grid in two directions according to the time-of-use electricity price. Based on the above model, a multi-objective optimization problem composed of power generation cost and user satisfaction was constructed with the goal of minimizing operating cost and ensuring user satisfaction. The weighted sum method was used to deal with the multi-objective problem, and then the system model was optimized by CPLEX. Compared with several different strategies, the system operation cost can be reduced by the strategy proposed in this paper on the premise that the user satisfaction is ensured to be above 0.95. The comparison results of the numerical examples proved that the energy conservation and emission reduction in intelligent buildings could be achieved and the economy of the system could be improved by the intelligent building energy optimization method proposed in this study.

Key words: user satisfaction, intelligent building, flexible loads, energy optimization, weighted sum method

CLC Number: 

  • TM73
[1] QI X Y, HAN Y. Energy quota trading can achieve energy savings and emission reduction: evidence from China's pilots[J]. Environmental Science and Pollution Research, 2021, 28(37): 52431-52458.
[2] 张恒旭, 曹永吉, 张怡, 等. 电力系统频率动态行为衍变与分析方法需求综述[J]. 山东大学学报(工学版), 2021, 51(5): 42-52. ZHANG Hengxu, CAO Yongji, ZHANG Yi, et al. Review of frequency dynamic behavior evolution and analysis method requirements of power system[J]. Journal of Shandong University(Engineering Science), 2021, 51(5): 42-52.
[3] 张恒旭, 高志民, 曹永吉, 等. 高比例可再生能源接入下电力系统惯量研究综述及展望[J]. 山东大学学报(工学版), 2022, 52(5): 1-13. ZHANG Hengxu, GAO Zhimin, CAO Yongji, et al. Review and prospect of research on power system inertia with high penetration of renewable energy source[J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 1-13.
[4] LI C Z, ZHANG L M, LIANG X, et al. Advances in the research of building energy saving[J]. Energy and Buildings, 2022, 254: 111556.
[5] 颜湘武, 王庆澳, 卢俊达, 等. 计及电动汽车和柔性负荷的微电网能量调度[J]. 电力系统保护与控制, 2023, 51(17): 69-79. YAN Xiangwu, WANG Qing'ao, LU Junda, et al. Microgrid energy scheduling with electric vehicles and flexible loads[J]. Power System Protection and Control, 2023, 51(17): 69-79.
[6] 李文升, 刘晓明, 曹永吉, 等. 考虑电力系统灵活性的网-储联合规划[J]. 智慧电力, 2023, 51(4): 30-37. LI Wensheng, LIU Xiaoming, CAO Yongji, et al.Joint planning of energy storage and transmission line considering power system flexibility[J]. Smart Power, 2023, 51(4): 30-37.
[7] 陈宇星, 梁芙蓉, 尤炜, 等. 含分布式光伏的配电网模型预测控制优化方法[J]. 电力工程技术, 2023, 42(6): 100-109. CHEN Yuxing, LIANG Furong, YOU Wei, et al. Model predictive control optimization method for distribution network containing distributed photovoltaics[J]. Electric Power Engineering Technology, 2023, 42(6): 100-109.
[8] 孙东磊, 孙可奇, 杨金叶, 等. 考虑灵活性需求的电力系统优化调度[J]. 山东大学学报(工学版), 2022, 52(1): 120-127. SUN Donglei,SUN Keqi, YANG Jinye, et al. Power system optimal dispatch considering the requirements of flexibility[J]. Journal of Shandong University(Engineering Science), 2022, 52(1): 120-127.
[9] FOROOZANDEH Z, RAMOS S, SOARES J, et al. Goal programming approach for energy management of smart building[J]. IEEE Access, 2022, 10: 25341-25348.
[10] 李泽宁, 苏粟, 靳小龙, 等. 面向提高风电接纳能力的智慧建筑能量管理策略[J]. 电网技术, 2021, 45(6): 2288-2298. LI Zening, SU Su, JIN Xiaolong, et al. Energy management strategy of smart buildings for improving wind power accommodation ability[J]. Power System Technology, 2021, 45(6): 2288-2298.
[11] 胡鹏, 艾欣, 杨昭, 等. 考虑电能共享的综合能源楼宇群日前协同优化调度[J]. 电力自动化设备, 2019, 39(8): 239-245. HU Peng, AI Xin, YANG Zhao, et al. Day-ahead optimal scheduling for cluster building with integrated energy system considering power sharing[J]. Electric Power Automation Equipment, 2019, 39(8): 239-245.
[12] 潘帅琪, 魏繁荣, 林湘宁, 等. 光伏建筑一体化社区热电联供调度策略[J]. 电力系统保护与控制, 2022, 50(4): 24-35. PAN Shuaiqi, WEI Fanrong, LIN Xiangning, et al. Dispatch strategy of heat and power cogeneration in building integrated photovoltaic[J]. Power System Protection and Control, 2022, 50(4): 24-35.
[13] 王超, 潘麟, 刘博, 等. 新农村能源系统供用能特征分析与运行优化[J]. 山东大学学报(工学版), 2024, 54(3):149-159. WANG C, PAN L, LIU B, et al. Characteristic analysis and operational optimization of energy system in new rural areas[J]. Journal of Shandong University(Engineering Science), 2024, 54(3):149-159.
[14] 刘振, 孙媛媛, 李亚辉, 等. 基于用户行为预测的分布式光伏智能社区需求响应策略[J]. 山东大学学报(工学版), 2022, 52(5): 24-34. LIU Zhen, SUN Yuanyuan, LI Yahui, et al. Demand response strategy for distributed photovoltaic smart community based on model prediction of user behavior analysis[J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 24-34.
[15] RAZMARA M, BHARATI G R, SHAHBAKHTI M, et al. Bilevel optimization framework for smart building-to-grid systems[J]. IEEE Transactions on Smart Grid, 2018, 9(2): 582-593.
[16] HUSSAIN M S, ALI ABBAS KAZMI S, KHAN Z A, et al. Hierarchical energy management system with a local competitive power market for inter-connected multi-smart buildings[J]. IEEE Access, 2022, 10: 19493-19506.
[17] TOOPSHEKAN A, ABEDIAN A, AZIZI A, et al. Optimization of a CHP system using a forecasting dispatch and teaching-learning-based optimization algorithm[J]. Energy, 2023, 285:128671.
[18] KORKAS C D, TERZOPOULOS M, TSAKNAKIS C, et al. Nearly optimal demand side management for energy, thermal, EV and storage loads: an Approximate Dynamic Programming approach for smarter buildings[J]. Energy and Buildings, 2022, 255: 111676.
[19] 杨秀, 傅广努, 刘方, 等. 考虑多重因素的空调负荷聚合响应潜力评估及控制策略研究[J]. 电网技术, 2022, 46(2): 699-708. YANG Xiu, FU Guangnu, LIU Fang, et al. Potential evaluation and control strategy of air conditioning load aggregation response considering multiple factors[J]. Power System Technology, 2022, 46(2): 699-708.
[20] MOUSAVIZADE M, BAI F F, GARMABDARI R, et al. Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations[J]. Applied Energy, 2023, 341: 121118.
[21] 刘景余. LED照明负荷参与电力系统一次调频与备用优化配置研究[D]. 济南: 山东大学, 2018. LIU Jingyu. Research on LED lighting load participating in primary frequency modulation and standby optimal configuration of power system[D].Jinan: Shandong University, 2018.
[22] 孙毅, 张辰, 李泽坤, 等. 计及多区域用户差异化PMV的柔性负荷多功率级调控策略[J]. 中国电机工程学报, 2021, 41(22): 7574-7585. SUN Yi, ZHANG Chen, LI Zekun, et al. Flexible load multi-power level control strategy taking into account the differentiated PMV of multi-region users[J]. Proceedings of the CSEE, 2021, 41(22): 7574-7585.
[23] 中华人民共和国建设部. 夏热冬冷地区居住建筑节能设计标准: JGJ 134—2001[S]. 北京: 中国建筑工业出版社, 2004.
[24] MEHMOOD F, KHAN B, ALI S M. Renewable generation intermittence and economic dispatch control of autonomous microgrid with distributed sliding mode[J]. International Journal of Electrical Power and Energy Systems, 2021, 130:106937.
[25] SHI Y, WANG R, CHEN P F. Multi-criteria decision-making approach for energy-efficient renovation strategies in hospital wards: balancing energy, economic, and thermal comfort[J]. Energy and Buildings, 2023, 298: 113575.
[26] 陈丽娟, 秦萌, 顾少平, 等. 计及电池损耗的电动公交车参与V2G的优化调度策略[J]. 电力系统自动化, 2020, 44(11): 52-60. CHEN Lijuan, QIN Meng, GU Shaoping, et al. Optimal dispatching strategy of electric bus participating in vehicle-to-grid considering battery loss[J]. Automation of Electric Power Systems, 2020, 44(11): 52-60.
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