Randomized Automated Demand Response for Real-time Pricing

被引:0
|
作者
Azuma, Shun-ichi [1 ]
Nakamoto, Tsuyoshi [1 ]
Izumi, Shinsaku [1 ]
Kitao, Taichi [1 ]
Maruta, Ichiro [1 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Uji, Kyoto 6110011, Japan
关键词
POWER;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Automated demand response (ADR) is an essential technology for demand management such as real-time pricing. A major issue for ADR is the design of the units which control electric supply to each electric devise according to the price, so as to benefit both the supplier and consumer sides. Although a kind of universal design principle must be useful for the issue, it has never been established so far. This paper thus attempts to derive a design principle of the ADR units for real-time pricing and proposes ADR units based on it. First, as a design principle, it is clarified that the heterogeneity of the consumer-side actions is essential to control the total electric power consumption. Based on it, we propose randomized ADR units to artificially produce the heterogeneity. In each proposed unit, a random number is generated and electric power is provided to the connected electric devise only if a price-dependent condition is satisfied for the resulting random number. The proposed units enable the consumers to automatically buy electricity with a low price and allow the supplier to control the total consumption. They also guarantee the scalability of the resulting real-time pricing system.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Randomized Automated Demand Response for Real-time Pricing
    Azuma, Shun-ichi
    Nakamoto, Tsuyoshi
    Izumi, Shinsaku
    Kitao, Taichi
    Maruta, Ichiro
    [J]. 2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [2] Real-time Pricing Demand Response in Operations
    Widergren, S., Sr.
    Marinovici, C.
    Berliner, T.
    Graves, A.
    [J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [3] Modeling of Dynamics in Demand Response for Real-time Pricing
    Maruta, Ichiro
    Takarada, Yusuke
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 806 - 811
  • [4] Automated control in response to real-time pricing of electricity
    Gabel, SD
    Carmichael, L
    Shavit, G
    [J]. ASHRAE JOURNAL-AMERICAN SOCIETY OF HEATING REFRIGERATING AND AIR-CONDITIONING ENGINEERS, 1998, 40 (11): : 26 - 29
  • [5] Real-Time Simulation of Real-Time Pricing Demand Response to Meet Wind Variations
    Gomes, L.
    Fernandes, F.
    Faria, P.
    Silva, M.
    Vale, Z.
    Ramos, C.
    [J]. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [6] A hybrid demand response mechanism based on real-time incentive and real-time pricing
    Xu, Bo
    Wang, Jiexin
    Guo, Mengyuan
    Lu, Jiayu
    Li, Gehui
    Han, Liang
    [J]. ENERGY, 2021, 231
  • [7] Optimal Real-Time Pricing of Electricity Based on Demand Response
    Jiang, Jiangfeng
    Kou, Yu
    Bie, Zhaohong
    Li, Gengfeng
    [J]. RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID, 2019, 159 : 304 - 308
  • [8] Real-Time Pricing for Demand Response Based on Stochastic Approximation
    Samadi, Pedram
    Mohsenian-Rad, Hamed
    Wong, Vincent W. S.
    Schober, Robert
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) : 789 - 798
  • [9] Controllability of Aggregate Demand Response Systems for Real-Time Pricing
    Sato, Kazuhiro
    Azuma, Shun-ichi
    [J]. PROCEEDINGS OF 2016 IEEE 4TH INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, NETWORKS, AND APPLICATIONS (CPSNA), 2016, : 33 - 34
  • [10] Real-Time Pricing with Demand Response Model for Autonomous Homes
    Awais, Muahammad
    Javaid, Nadeem
    Shaheen, Nusrat
    Adnan, Rana
    Khan, Naveed A.
    Khan, Zahoor Ali
    Qasim, Umar
    [J]. 2015 9TH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS CISIS 2015, 2015, : 134 - 139