SIA OpenIR  > 工业控制网络与系统研究室
A novel multiobjective optimization algorithm for home energy management system in smart grid
Zhang YY(张延宇); Zeng P(曾鹏); Li, Shuhui; Zang CZ(臧传治); Li HP(李鹤鹏)
作者部门工业控制网络与系统研究室
关键词Particle Swarm Optimization Demand Response Pricing Environments Consumption
发表期刊Mathematical Problems in Engineering
ISSN1024-123X
2015
卷号2015页码:1-20
收录类别SCI ; EI
EI收录号20152100860214
WOS记录号WOS:000355862400001
产权排序1
资助机构National High Technology Research and Development of China [2011AA040103] ; Natural Science Foundation of China [61233007, 61300215] ; Important National Science and Technology Specific Project [2013ZX03005004]
摘要Demand response (DR) is an effective method to lower peak-to-average ratio of demand, facilitate the integration of renewable resources (e.g., wind and solar) and plug-in hybrid electric vehicles, and strengthen the reliability of power system. In smart grid, implementing DR through home energy management system (HEMS) in residential sector has a great significance. However, an algorithm that only optimally controls parts of HEMS rather than the overall system cannot obtain the best results. In addition, single objective optimization algorithm that minimizes electricity cost cannot quantify user's comfort level and cannot take a tradeoff between electricity cost and comfort level conveniently. To tackle these problems, this paper proposes a framework of HEMS that consists of grid, load, renewable resource (i.e., solar resource), and battery. In this framework, a user has the ability to sell electricity to utility grid for revenue. Different comfort level indicators are proposed for different home appliances according to their characteristics and user preferences. Based on these comfort level indicators, this paper proposes a multiobjective optimization algorithm for HEMS that minimizes electricity cost and maximizes user's comfort level simultaneously. Simulation results indicate that the algorithm can reduce user's electricity cost significantly, ensure user's comfort level, and take a tradeof between the cost and comfort level conveniently.
语种英语
WOS标题词Science & Technology ; Technology ; Physical Sciences
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]PARTICLE SWARM OPTIMIZATION ; DEMAND RESPONSE ; PRICING ENVIRONMENTS ; CONSUMPTION
WOS研究方向Engineering ; Mathematics
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16133
专题工业控制网络与系统研究室
通讯作者Zhang YY(张延宇); Zeng P(曾鹏)
作者单位1.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.School of Computer and Information Engineering, Henan University, Kaifeng, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, United States
推荐引用方式
GB/T 7714
Zhang YY,Zeng P,Li, Shuhui,et al. A novel multiobjective optimization algorithm for home energy management system in smart grid[J]. Mathematical Problems in Engineering,2015,2015:1-20.
APA Zhang YY,Zeng P,Li, Shuhui,Zang CZ,&Li HP.(2015).A novel multiobjective optimization algorithm for home energy management system in smart grid.Mathematical Problems in Engineering,2015,1-20.
MLA Zhang YY,et al."A novel multiobjective optimization algorithm for home energy management system in smart grid".Mathematical Problems in Engineering 2015(2015):1-20.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A novel multiobjecti(3248KB)期刊论文出版稿开放获取ODC PDDL浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang YY(张延宇)]的文章
[Zeng P(曾鹏)]的文章
[Li, Shuhui]的文章
百度学术
百度学术中相似的文章
[Zhang YY(张延宇)]的文章
[Zeng P(曾鹏)]的文章
[Li, Shuhui]的文章
必应学术
必应学术中相似的文章
[Zhang YY(张延宇)]的文章
[Zeng P(曾鹏)]的文章
[Li, Shuhui]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A novel multiobjective optimization algorithm for home energy management system in smart grid.pdf
格式: Adobe PDF
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。