Optimization model for home energy management system of rural dwellings
Huang, Zhijia2; Wang, Fang2; Lu, Yuehong2; Chen, Xiaofeng2; Wu, Qiqi1
刊名ENERGY
2023-11-15
卷号283
关键词Flexible load Home energy management system Renewable energy Genetic algorithm Load scheduling
ISSN号0360-5442
DOI10.1016/j.energy.2023.129039
通讯作者Huang, Zhijia(jzjnyjs@163.com) ; Lu, Yuehong(luyuehongtuzi@163.com)
英文摘要In the context of the increasing popularity of distributed energy, this paper proposes a home energy management system method considering the working state of flexible load to deal with the problem of mismatch between home energy supply and demand. Specifically, in this paper, the flexible load in the system is studied, and the model of flexible load and its working state are established. On this basis, combined with the real-time electricity price of the grid, the model of home energy management system is constructed to minimize the electricity purchase cost and improve the utilization rate of renewable energy, the genetic algorithm is used to solve it, and the influence of time step, flexible load ratio and whether to use energy storage equipment on the optimization degree of the model are analyzed. The research results show that, while meeting the requirements of human comfort and electricity demand, the daily electricity purchase cost of the system with flexible load scheduling is 22.5% lower than that of the system without flexible load scheduling, and the utilization rate of renewable energy is increased by 16.5%. In terms of model optimization, shortening the prediction time step, increasing the proportion of flexible load and using energy storage equipment can further reduce the electricity purchase cost. The case study confirms the effectiveness of the proposed home energy management system model, which can provide an efficient optimal scheduling scheme for household energy saving.
资助项目National Natural Science Foundation of China[51478001]
WOS关键词DEMAND RESPONSE ; ARCHITECTURE ; BENEFITS ; HEMS
WOS研究方向Thermodynamics ; Energy & Fuels
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:001077598100001
资助机构National Natural Science Foundation of China
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/132486]  
专题中国科学院合肥物质科学研究院
通讯作者Huang, Zhijia; Lu, Yuehong
作者单位1.Chinese Acad Sci, High Magnet Field Lab, Hefei 230031, Peoples R China
2.Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan 243002, Peoples R China
推荐引用方式
GB/T 7714
Huang, Zhijia,Wang, Fang,Lu, Yuehong,et al. Optimization model for home energy management system of rural dwellings[J]. ENERGY,2023,283.
APA Huang, Zhijia,Wang, Fang,Lu, Yuehong,Chen, Xiaofeng,&Wu, Qiqi.(2023).Optimization model for home energy management system of rural dwellings.ENERGY,283.
MLA Huang, Zhijia,et al."Optimization model for home energy management system of rural dwellings".ENERGY 283(2023).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace