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Optimal home energy management integrating random PV and appliances based on stochastic programming
Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文); Ni FL(倪凤莲)
作者部门工业控制网络与系统研究室
会议名称28th Chinese Control and Decision Conference, CCDC 2016
会议日期May 28-30, 2016
会议地点Yinchuan, China
会议录名称Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码429-434
收录类别EI ; CPCI(ISTP)
EI收录号20163602765555
WOS记录号WOS:000383222300079
产权排序1
ISSN号1948-9439
ISBN号978-1-4673-9714-8
关键词Demand Response Home Energy Management System Stochastic Programming Uncertainties
摘要This paper presents an detailed study about the development of an integrative DR policy for the optimal home energy management system under stochastic environment. In this study, home appliances are classified into three categories and detailed modeling of all kinds of home appliances is given. Then, the optimal HEMS problem is formulated as a stochastic programming model considering the uncertainties of PV production and critical loads to minimize a customer's electricity cost. Monte Carlo simulation method is used to decompose the problem into a mixed integer linear programming problem. Finally, the proposed stochastic programming model is verified through numerical simulation. The simulation results show that the proposed stochastic DR model can reduce the effect of the uncertainties in residential environment on the electricity cost and obtain a better DR policy than the conventional deterministic model.
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/173321/19173
专题工业控制网络与系统研究室
通讯作者Li HP(李鹤鹏)
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Huaihai Institute of Technology, Lianyungang, 222005, China
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Li HP,Zang CZ,Zeng P,et al. Optimal home energy management integrating random PV and appliances based on stochastic programming[C]. Piscataway, NJ, USA:IEEE,2016:429-434.
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