Bi-level scheduling Model of Air conditioning load aggregator considering users' comfort compensation

被引:0
|
作者
Yang Bin [1 ]
Chen Zhenyu [1 ]
Huo Yao [1 ]
Ruan Wenjun [1 ]
Zhou Hongquan [2 ]
Gao Zhiguo [2 ]
机构
[1] State Grid Jiangsu Elect Power CO LTD, Nanjing, Peoples R China
[2] Beijing Huiheshi Technol Co Ltd, Beijing, Peoples R China
关键词
Central air-conditioning load; load aggregator; Thermal sensory voting value; Bi-level scheduling Model;
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
As a kind of load-side flexible resource, the load of air-conditioning can be included in the dispatching of power system through demand response. In this paper, a bi-level scheduling model for air-conditioning load aggregator considering the users' comfort compensation is put forward. First, by optimizing the power consumption of each component of the central air-conditioner, the aggregator forms its controllable demand response resource, and then participates in the market competition before the day. After the bidding is completed, the load aggregator controls the air-conditioning load based on the comfort of the user reasonably according to the load reduction task. Thus, a load aggregator bi-level scheduling model based on the setting of the user compensation mechanism is shaped. In the mechanism of user compensation strategy, a user compensation model based on the improved thermal sensation voting value function (TSV) is proposed. The example shows that the proposed compensation strategy can fully mobilize the enthusiasm of the users to participate in the load reduction task and improve the income of the load aggregator based on the comparison of the traditional compensation mechanism.
引用
收藏
页码:1995 / 2001
页数:7
相关论文
共 50 条
  • [31] A bi-level programming model and its algorithm for scheduling at a container terminal
    Zeng Qing-cheng
    Yang Zhong-zhen
    Proceedings of the 2006 International Conference on Management Science & Engineering (13th), Vols 1-3, 2006, : 402 - 406
  • [32] Bi-level programming model for scheduling and procurement scheme of regional bus
    Wei M.
    Jin W.-Z.
    Sun B.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2011, 39 (08): : 118 - 123
  • [33] Bi-level programming model for transit mixed scheduling and procurement scheme
    Wu, W.-T. (wuweitiao@mail.scut.edu.cn), 2013, Editorial Board of Jilin University (43):
  • [34] A bi-level programming model for uncertain regional bus scheduling problems
    Wei, Ming
    Sun, Bo
    Jin, Wen-Zhou
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2013, 13 (04): : 106 - 113
  • [35] A bi-level approach to load restoration strategy considering variant length of time steps
    Sun, Lei
    Yang, Zhichao
    Li, Mingming
    Ding, Ming
    Liang, Bomiao
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2022, 16 (02) : 319 - 332
  • [36] A Bi-level Electric Vehicle Scheduling Strategy in Parking Lots for Peak Load Management
    Suryakiran, B. V.
    Verma, Ashu
    Nizami, Sohrab
    Mishra, Sukumar
    2022 22ND NATIONAL POWER SYSTEMS CONFERENCE, NPSC, 2022,
  • [37] Bi-level Mixed Integer Optimization Model for Distributed Energy Aggregator Participation in Electricity Market Bidding Considering Security Verification of Distribution System
    Xu L.
    Shen Z.
    Liu M.
    Lu W.
    Dianwang Jishu/Power System Technology, 2021, 45 (11): : 4395 - 4406
  • [38] A bi-level multiobjective optimization model for waste load allocation in rivers
    Zhang, Xuan
    Luo, Jungang
    Xie, Jiancang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (05) : 5122 - 5137
  • [39] A bi-level multiobjective optimization model for waste load allocation in rivers
    Xuan Zhang
    Jungang Luo
    Jiancang Xie
    Environmental Science and Pollution Research, 2020, 27 : 5122 - 5137
  • [40] A Bi-level gaming programming for regional integrated energy system considering the users? reliability incentive
    Chen, Biyun
    Chen, Yanni
    Zhou, Hengwang
    Bai, Xiaoqing
    Li, Bin
    Guo, Xiaoxuan
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 229