Temperature Control Load Demand Response Control Strategy Considering Users Willingness Difference

被引:3
|
作者
Li, Zhenguo [1 ]
Song, Ziwei [1 ]
Cui, Yifeng [1 ]
Jia, Qingquan [1 ]
Jeong, Seok-Kwon [2 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Pukyong Natl Univ, Busan 608737, South Korea
基金
中国国家自然科学基金;
关键词
Demand response; signal broadcasting; temperature control load; temperature normalization; user willingness difference;
D O I
10.1109/TIA.2023.3247544
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Considering the pressure of communication facilities, the difference in willingness to participate, privacy protection, and other factors, a temperature control load demand response control strategy based on signal broadcasting considering the difference in user willingness is proposed. The control strategy is divided into the aggregator side and the local temperature control load unit side and its response index are sent by the aggregator to all temperature control load units in the form of signal broadcasting. In this control strategy, considering the variety of temperature control load units and different temperature control intervals, a universal temperature normalization value is established. The user participation willingness coefficient is introduced, and the expression of the actual participation probability of the temperature control load is constructed. According to the comparison result with the random number, whether to start or stop the temperature control component is selected. Finally, the overall application flow of temperature control load demand response is designed, and the effectiveness of the strategy is verified by MATLAB simulation.
引用
收藏
页码:2696 / 2705
页数:10
相关论文
共 50 条
  • [1] Research on Demand Response Control Strategy of Temperature Controlled Load Considering Different Wills of Users Based on Signal Broadcast
    Song, Ziwei
    Cui, Yifeng
    Jeong, Seok-Kwon
    Jia, Qingquan
    Li, Zhenguo
    [J]. 2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021), 2021, : 2363 - 2368
  • [2] Optimal control strategy of load aggregators with demand response
    Zhou, Xiao
    Shi, Jing
    Li, Shujian
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, (16): : 1033 - 1036
  • [3] Demand-side response power control strategy considering load production sequence requirements
    Wang, Xi
    Chen, Zhen
    Xie, Haocong
    Liao, Siyang
    Ye, Xi
    Chen, Gang
    [J]. FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [4] Demand-side response power control strategy considering load production sequence requirements
    Wang, Xi
    Chen, Zhen
    Xie, Haocong
    Liao, Siyang
    Ye, Xi
    Chen, Gang
    [J]. Frontiers in Energy Research, 2024, 12
  • [5] A Dynamic Load Control Strategy for an Efficient Building Demand Response
    Schmitt, Konrad Erich Kork
    Osman, Ilham
    Bhatta, Rabindra
    Murshed, Mahtab
    Chamana, Manohar
    Bayne, Stephen
    [J]. 2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 819 - 826
  • [6] Coordinated Control Strategy of Source-Grid-Load-Storage in Distribution Network Considering Demand Response
    Zhu, Youxiang
    Li, Dong
    Xiao, Shenyang
    Liu, Xuekong
    Bu, Shi
    Wang, Lijun
    Ma, Kai
    Ma, Piming
    [J]. ELECTRONICS, 2024, 13 (15)
  • [7] Joint Control Strategy of Heterogeneous Temperature Control Load Considering Time Domain Characteristics
    Sun Y.
    Huang S.
    Li Z.
    Li B.
    Mu M.
    Zhang X.
    Li F.
    [J]. Huang, Shaomo (2092382961@qq.com), 1600, Power System Technology Press (44): : 4722 - 4733
  • [8] Online fuzzy control of HVAC systems considering demand response and users' comfort
    Talebi, Ashkan
    Hatami, Alireza
    [J]. ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2020, 15 (7-9) : 403 - 422
  • [9] Study of a Distribution Line Overload Control Strategy Considering the Demand Response
    Chen, Lijuan
    Xu, Xiaohui
    Yao, Liangzhong
    Xu, Qingshan
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2014, 42 (09) : 970 - 983
  • [10] Demand response strategy for electric vehicles and air conditioners considering response willingness
    Hu Z.
    Guo X.
    Wang S.
    Xu C.
    Li T.
    Zhou W.
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (15): : 109 - 119