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题名:
Optimal home energy management integrating random PV and appliances based on stochastic programming
作者: 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
通讯作者: 李鹤鹏
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: Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2016
页码: 429-434
收录类别: EI ; CPCI(ISTP)
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
产权排序: 1
EI收录号: 20163602765555
WOS记录号: WOS:000383222300079
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19173
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
Li HP,Zang CZ,Zeng P,et al. Optimal home energy management integrating random PV and appliances based on stochastic programming[C]. 28th Chinese Control and Decision Conference, CCDC 2016. Yinchuan, China. May 28-30, 2016.Optimal home energy management integrating random PV and appliances based on stochastic programming.
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