Flexibility quantification and enhancement of flexible electric energy systems in buildings

灵活性(工程) 需求响应 可再生能源 电力系统 计算机科学 峰值需求 可靠性工程 能源消耗 电力 功率(物理) 工程类 电气工程 经济 物理 管理 量子力学
作者
Yifei Bai,Weirong Zhang,Tingjia Yu,Jingjing Wang,Gaofeng Deng,Jinguang Yan,Jiajia Liu
出处
期刊:Journal of building engineering [Elsevier BV]
卷期号:68: 106114-106114 被引量:19
标识
DOI:10.1016/j.jobe.2023.106114
摘要

The problems of continuous rise in global power consumption, gradual increase in the peak–valley difference of power systems, and continuous expansion of renewable energy penetration have caused the power system regulation to shift from the traditional supply side to demand side. Buildings have huge power consumption and great energy flexibility, making them one of the most important units on the demand side of a power system. This study performed a detailed review of 183 literatures on flexible energy resources. The review has been carried out from the supply and demand side and demand response strategy side. Based on the results of the analysis and discussion, we proposed seven general quantitative models of flexibility for commonly used flexible resources, which lays the foundation for the flexibility evaluation of the building electric energy flexible system (BEEFS) and implementation of demand response strategies. In addition, the optimization techniques commonly used in demand response strategies are analyzed to achieve different goals. The results show that the combination of these strategies and optimization techniques can achieve the goals of reducing operating costs (OCs) by 4%–42%, reducing peak power (PP) by 15%–96%, and improving renewable energy consumption rate (RECR) by 6%–70%. This study constructs an overall framework for the flexibility quantification of building electric energy systems, which can be further expanded in the future. In the process of interaction between the building and the grid, appropriate demand response strategies and optimization techniques need to be selected according to the types and characteristics of flexible resources to achieve the goals in the demand response process.
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