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Real-Time Pricing Strategy by Using the Category-based Model of Domestic Electric Appliances
Li ZW(李忠文); Huang HX(黄海新); Zang CZ(臧传治); Yu HB(于海斌)
Department工业控制网络与系统研究室
Conference NameWorld Smart Grid Forum 2013
Conference DateSeptember 23-25, 2013
Conference PlaceBerlin, Germany
Source PublicationWorld Smart Grid Forum 2013
PublisherIEC
Publication PlaceGeneva, Switzerland
2013
Pages1-3
Contribution Rank1
AbstractPeaking load shaving has great economic and environmental benefits. Compared to the average pricing, the real-time pricing (RTP) can incent the users to shave the peaking load and thus share the benefits of ‘flat load curve’ between all the participants. In order to get the ‘flat load curve’, the residential electric appliances are divided into eight categories in terms of self-price elasticities and cross-price elasticities. The price profile is determined one day ahead of real time using the particle swarm optimization (PSO) algorithm. Simulation results show that the load curve tends to be flat under the influence of the optimized price profile.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13880
Collection工业控制网络与系统研究室
Corresponding AuthorLi ZW(李忠文); Yu HB(于海斌)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 110016
2.University of Chinese Academy of Sciences, Beijing, China 100049
3.Information Science and Engineer College, Shenyang Ligong University, Shenyang, China 110159
Recommended Citation
GB/T 7714
Li ZW,Huang HX,Zang CZ,et al. Real-Time Pricing Strategy by Using the Category-based Model of Domestic Electric Appliances[C]. Geneva, Switzerland:IEC,2013:1-3.
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