SIA OpenIR  > 工业控制网络与系统研究室
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)
Department工业控制网络与系统研究室
Conference Name28th Chinese Control and Decision Conference, CCDC 2016
Conference DateMay 28-30, 2016
Conference PlaceYinchuan, China
Source PublicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages429-434
Indexed ByEI ; CPCI(ISTP)
EI Accession number20163602765555
WOS IDWOS:000383222300079
Contribution Rank1
ISSN1948-9439
ISBN978-1-4673-9714-8
KeywordDemand Response Home Energy Management System Stochastic Programming Uncertainties
AbstractThis 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.
Language英语
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19173
Collection工业控制网络与系统研究室
Corresponding AuthorLi HP(李鹤鹏)
Affiliation1.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
Recommended Citation
GB/T 7714
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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