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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)
作者部门工业控制网络与系统研究室
会议名称World Smart Grid Forum 2013
会议日期September 23-25, 2013
会议地点Berlin, Germany
会议录名称World Smart Grid Forum 2013
出版者IEC
出版地Geneva, Switzerland
2013
页码1-3
产权排序1
摘要Peaking 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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13880
专题工业控制网络与系统研究室
通讯作者Li ZW(李忠文); Yu HB(于海斌)
作者单位1.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
推荐引用方式
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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