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An integrative study of home energy management for residential energy consumers
Zhang D(张东); Zeng P(曾鹏); Zhang YY(张延宇); Li SH(李署辉)
作者部门工业控制网络与系统研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码223-228
收录类别EI ; CPCI(ISTP)
EI收录号20161402187690
WOS记录号WOS:000380502300046
产权排序2
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Smart Grid Demand Response Home Appliances Optimization Modeling And Simulation
摘要This paper studies how to optimize the energy usage of home appliances in the demand response framework from the consumer's perspective. The loads of major home appliances are divided into three categories: fixed loads, regulate-able loads, and deferrable loads. For efficient usage of the home appliances, an integrative optimization of the three category loads is needed. The paper investigates the relation of the integrative optimization and individual optimization of each category load. A regression-based learning strategy is employed to learn HAVC energy consumption model for development of more efficient DR policy. The study is conducted through an integrative computational experiment approach that combines a home energy simulator and MATLAB together for demand response development and evaluation. The paper examines how the integrative demand response of the residential home appliances are affected by dynamic pricing tariffs, seasons, and weather. Case studies are conducted by considering home energy consumption, dynamic electricity pricing schemes, and demand response methods.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18502
专题工业控制网络与系统研究室
通讯作者Zhang D(张东)
作者单位1.State Grid Tianjin Electric Power Research Institute, Tianjin, China
2.Key Lab. of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, United States
推荐引用方式
GB/T 7714
Zhang D,Zeng P,Zhang YY,et al. An integrative study of home energy management for residential energy consumers[C]. Piscataway, NJ, USA:IEEE,2015:223-228.
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