中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Day-Ahead Real-Time Pricing Strategy Based on the Price-Time-Type Elasticity of Demand

文献类型:会议论文

作者Li ZW(李忠文); Yu HB(于海斌); Huang HX(黄海新); Zang CZ(臧传治)
出版日期2013
会议名称2013 15th IEEE International Conference on Communication Technology (ICCT 2013) 
会议日期November 17-19, 2013
会议地点Guilin, China
关键词demand response real-time price particle swarm optimization electricity pricing strategy demand side management
页码449-455
通讯作者李忠文
中文摘要The 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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-4799-0077-0
WOS记录号WOS:000355664400079
源URL[http://ir.sia.cn/handle/173321/13870]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
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]. 见:2013 15th IEEE International Conference on Communication Technology (ICCT 2013) . Guilin, China. November 17-19, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。