考虑用户满意度的智能建筑多目标能源优化

doi:10.6040/j.issn.1672-3961.0.2024.113

摘要/Abstract

摘要： 为提高建筑节能,本研究构建低碳智能建筑能源优化系统。提出考虑用户满意度的智能建筑能源优化方法,搭建智能建筑能源优化系统模型,引入照明和空调负荷作为柔性负荷参与系统的优化调度,增加系统调度灵活性,此外电动汽车可与智能建筑双向交流,并且智能建筑可根据分时电价与公用电网进行电能双向传输。基于上述模型,以智能建筑日运行成本最小为目标,同时保证用户的满意度,构建由智能建筑运行成本和用户满意度构成的多目标优化问题,利用加权求和法处理多目标问题,然后通过CPLEX对系统模型优化求解。最后与多个不同的策略进行对比,本研究提出的策略可以保证用户满意度在0.95以上的前提下,降低系统运行成本。算例的对比结果证明,本研究提出的智能建筑能源优化方法可以实现智能建筑的节能减排并提高系统的经济性。

关键词: 用户满意度, 智能建筑, 柔性负荷, 能源优化, 加权求和法

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

中图分类号:

TM73

郑方圆,陈立征,王文奎,张汉元,范英乐. 考虑用户满意度的智能建筑多目标能源优化[J]. 山东大学学报 (工学版), 2025, 55(2): 45-57.

ZHENG Fangyuan, CHEN Lizheng, WANG Wenkui, ZHANG Hanyuan, FAN Yingle. Intelligent building energy optimization considering user satisfaction[J]. Journal of Shandong University(Engineering Science), 2025, 55(2): 45-57.

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