SIA OpenIR  > 工业控制网络与系统研究室
Day-Ahead Real-Time Pricing Strategy Based on the Price-Time-Type Elasticity of Demand
Li ZW(李忠文); Yu HB(于海斌); Huang HX(黄海新); Zang CZ(臧传治)
Department工业控制网络与系统研究室
Conference Name2013 15th IEEE International Conference on Communication Technology (ICCT 2013) 
Conference DateNovember 17-19, 2013
Conference PlaceGuilin, China
Source PublicationProceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
PublisherIEEE
Publication PlaceNEW YORK
2013
Pages449-455
Indexed ByEI ; CPCI(ISTP)
EI Accession number20143618137140
WOS IDWOS:000355664400079
Contribution Rank1
ISBN978-1-4799-0077-0
KeywordDemand Response Real-time Price Particle Swarm Optimization Electricity Pricing Strategy Demand Side Management
AbstractThe curtailment of the peak demand has great economic and environmental benefits. In this paper, an efficient price profile under the Real-Time Pricing (RTP) option is found out to optimize the regional domestic daily electric load curve. The domestic electric appliances are divided into eight categories, with respect to the difference of their self-price elasticity and cross price elasticity. In order to set up a reasonable pricing strategy model, both the users’ satisfaction and the price are taken into account. The program of RTP is taken and the Particle Swarm Optimization (PSO) algorithm is used to optimize the electricity price profile. Under the optimized price profile, the load curve tends to be more flat and the average price for the customer is lower than before, after the variation and shift of the electric power demand.
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13870
Collection工业控制网络与系统研究室
Corresponding AuthorLi ZW(李忠文)
Affiliation1.Key Laboratory 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.Information Science and Engineer College, Shenyang Ligong University, Shenyang 110159, China
Recommended Citation
GB/T 7714
Li ZW,Yu HB,Huang HX,et al. Day-Ahead Real-Time Pricing Strategy Based on the Price-Time-Type Elasticity of Demand[C]. NEW YORK:IEEE,2013:449-455.
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