RESEARCH ON COORDINATED SCHEDULING OF HETEROGENEOUS LOADS IN SMART BUILDINGS UNDER MULTI-TIME SCALES

被引:0
|
作者
Dong, Yan [1 ]
Chen, Yirui [1 ]
Zhu, Yongsheng [1 ]
Liu, Yong [1 ]
Hu, Zefei [1 ]
机构
[1] School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou,450007, China
来源
关键词
D O I
10.19912/j.0254-0096.tynxb.2023-0600
中图分类号
学科分类号
摘要
In order to cope with large-scale flexible loads with heterogeneous characteristics connected to smart buildings,and to solve the problem of load fluctuations in buildings caused by the randomness of renewable energy and the uncertainty of flexible and heterogeneous loads,it is necessary to reasonably manage and control flexible and heterogeneous loads. A collaborative control method for heterogeneous loads in intelligent buildings considering multiple time scales is proposed. Firstly,considering the differences in power consumption characteristics and response characteristics of heterogeneous loads,the heterogeneous loads in the building are clustered into transferable loads and curtailable loads. Furthermore,considering the time-domain complementarity of the volatility of renewable energy and heterogeneous loads,a two-stage joint optimization dispatching model of day-ahead-intraday is established. The example simulation shows that the coordinated interaction between heterogeneous loads and multi-time scale rolling optimization can effectively reduce system load fluctuations and significantly improve the overall operating economy. © 2024 Science Press. All rights reserved.
引用
收藏
页码:210 / 217
相关论文
共 50 条
  • [21] Asymmetric volatility dynamics in cryptocurrency markets on multi-time scales
    Kakinaka, Shinji
    Umeno, Ken
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 62
  • [22] Uncertainty analysis and prediction of river runoff with multi-time scales
    Zhang, Jinping
    Zhao, Yong
    Lin, Xiaomin
    WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2017, 17 (03): : 897 - 906
  • [23] Multi-time Scale Coordinated Voltage Control Strategy in an Islanded Microgrid
    Yang, Xiangzhen
    Deng, Wanwan
    Duan, Mengke
    Du, Yan
    Su, Jianhui
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 7801 - 7806
  • [24] Multi-Time Optimization Scheduling Strategy for Integrated Energy Systems Considering Multiple Controllable Loads and Carbon Capture Plants
    Han, Zhe
    Li, Zehua
    Wang, Wenbo
    Liu, Wei
    Ma, Qiang
    Sun, Sidong
    Liu, Haiyang
    Zhang, Qiang
    Cao, Yue
    ENERGIES, 2024, 17 (23)
  • [25] Multi-time scale optimal scheduling model for active distribution grid with desalination loads considering uncertainty of demand response
    Zhou, Bowen
    Xia, Jiyu
    Yang, Dongsheng
    Li, Guangdi
    Xiao, Jun
    Cao, Jun
    Bu, Siqi
    Littler, Tim
    DESALINATION, 2021, 517
  • [26] Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
    Han, Chengyu
    Guo, Zhen
    Sun, Xiaomei
    Zhang, Yuquan
    WATER, 2023, 15 (13)
  • [27] Multi-machine scheduling problem with multi-time windows: Model and algorithm
    Liu, Wei
    Meng, Xin
    Zheng, Jianhua
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2009, 35 (03): : 330 - 333
  • [28] Research on Multi-Time Series Credit Risk Model under Attribute Weight Unknown
    Zhang Hongxiang
    Mao Zhizhong
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VI, 2010, : 377 - 380
  • [29] Research on Multi-Time Series Credit Risk Model under Attribute Weight Unknown
    Zhang Hongxiang
    Mao Zhizhong
    2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL I, 2011, : 373 - 377
  • [30] Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty
    Pang, Hali
    Wei, Yongjun
    Wang, Shan
    Liu, Xiaobin
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS, 2009, 5551 : 1098 - 1106