ShanghaiTech University Knowledge Management System
| Designing pricing incentive mechanism for proactive demand response in smart grid | |
| 2018 | |
| 会议录名称 | 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ICC 2018 |
| 卷号 | 2018-May |
| 发表状态 | 已发表 |
| DOI | 10.1109/ICC.2018.8422424 |
| 摘要 | Demand side management will be a key component of future smart grid that can help reduce peak load and adapt elastic demand to fluctuating generations. In this paper, we consider customers that operate different appliances and propose a demand response approach based on utility maximization. Each appliance provides a certain benefit depending on the pattern or volume of power it consumes. Each customer wishes to optimally schedule its power consumption so as to maximize its individual net benefit subject to various consumption and power flow constraints. We show that there exist time-varying prices that can align individual optimality with social optimality, i.e., under such prices, when the customers selfishly optimize their own benefits, they automatically also maximize the social welfare. The utility company can thus use dynamic pricing to coordinate demand responses to the benefit of the overall system. We propose a distributed algorithm for the utility company and the customers to jointly compute this optimal prices and demand schedules. Finally, we present simulation results that illustrate several interesting properties of the proposed scheme. © 2018 IEEE. |
| 会议地点 | Kansas City, MO, United states |
| 收录类别 | EI ; CPCI-S ; CPCI |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| EI入藏号 | 20183305704381 |
| EI主题词 | Electric load flow ; Electric power transmission networks ; Electric utilities ; Sales ; Smart power grids |
| EI分类号 | Electric Power Systems:706.1 ; Electric Power Transmission:706.1.1 ; Cost and Value Engineering; Industrial Economics:911 |
| 原始文献类型 | Conference article (CA) |
| 引用统计 | 正在获取...
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| 文献类型 | 会议论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/28675 |
| 专题 | 信息科学与技术学院_博士生 信息科学与技术学院 信息科学与技术学院_PI研究组_杨旸组 科道书院 |
| 通讯作者 | Zhou, Yanglin |
| 作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Deparment of Electrical and Computer Engineering, University of Nebraska-Lincoln, United States 3.State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China 4.Shanghai Research Center for Wireless Communications, Shanghai, Shanghai, China 5.Key Lab for Wireless Sensor Network and Communication, SIMIT Chinese Academy of Sciences, Shanghai, China |
| 第一作者单位 | 信息科学与技术学院 |
| 通讯作者单位 | 信息科学与技术学院 |
| 第一作者的第一单位 | 信息科学与技术学院 |
| 推荐引用方式 GB/T 7714 | Zhou, Yanglin,Ci, Song,Li, Hongjia,et al. Designing pricing incentive mechanism for proactive demand response in smart grid[C]:Institute of Electrical and Electronics Engineers Inc.,2018. |
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