A fast building demand response method based on supply-demand coordination for urgent responses to smart grids

被引:8
|
作者
Jin, Chen [1 ]
Yan, Chengchu [1 ]
Tang, Rui [2 ]
Cai, Hao [1 ]
Zeng, Ruixuan [1 ]
机构
[1] Nanjing Tech Univ, Coll Urban Construct, Nanjing 210009, Jiangsu, Peoples R China
[2] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
THERMAL COMFORT EVALUATION; AIR-CONDITIONING SYSTEMS; CHILLED-WATER-SYSTEMS; DIRECT LOAD CONTROL; CONTROL STRATEGY; LIMITING CONTROL; MODEL; REQUESTS; MASS;
D O I
10.1080/23744731.2019.1653626
中图分类号
O414.1 [热力学];
学科分类号
摘要
Many demand response (DR) measures are available for building air-conditioning systems, which can be categorized as demand-side-based controls and supply-side-based controls. However, due to the limitations of response speed and/or thermal comfort control, existing methods cannot economically and effectively meet the urgent DR requests from grids in emergency situations. This paper proposes a fast building demand response method based on supply-demand-side coordination for urgent responses to smart grids. It combines both the demand-side-based and supply-side-based control measures simultaneously. On the supply side, direct load control actions are employed to provide immediate power reductions. On the demand side, indoor air temperature set-points are adjusted stepwise according to an "incremental schedule" to achieve a uniform indoor temperature rise in different zones. In addition, two performance indexes are newly proposed to evaluate the sacrifice degree of thermal comfort. Measures for avoiding power rebound in post-DR periods are also considered. The proposed DR method is tested as a case study in a virtual building. The results show that through the coordinated control of the supply and demand side, a fast and effective DR (e.g., 18.3% of power reduction) is achieved with a uniform sacrifice of thermal comfort.
引用
收藏
页码:1494 / 1504
页数:11
相关论文
共 50 条
  • [41] Hierarchical Control Architecture for Demand Response in Smart Grids
    Bhattarai, B. P.
    Bak-Jensen, B.
    Mahat, P.
    Pillai, J. R.
    Maier, M.
    2013 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2013,
  • [42] Interaction of Demand Response and Voltage Stability in Smart Grids
    Esmaili, Masoud
    Vedadi, Ali
    2016 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2016,
  • [43] Demand Response in Smart Grids: A Randomized Auction Approach
    Zhou, Ruiting
    Li, Zongpeng
    Wu, Chuan
    Chen, Minghua
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2015, 33 (12) : 2540 - 2553
  • [44] A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC
    Chandlekar, Sanjay
    Jain, Shweta
    Gujar, Sujit
    PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023, 2023, : 3497 - 3504
  • [45] LTE Multicast Communication for Demand Response in Smart Grids
    Roy, Abhishek
    Kim, HanSeok
    Saxena, Navrati
    Kandoori, Radha R.
    2014 IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNCATIONS SYSTEMS (ANTS), 2014,
  • [46] A Distributed Control Approach for Demand Response in Smart Grids
    El Gharbi, Atef
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (01) : 8129 - 8135
  • [47] Modeling for tie-line scheduling plan based on security constraints and supply-demand coordination
    Xu, Dan
    Ding, Qiang
    Huang, Guodong
    Cui, Hui
    Dianwang Jishu/Power System Technology, 2015, 39 (09): : 2591 - 2596
  • [48] Smart homes: A domestic demand response and demand side energy management system for future smart grids
    Hoosain, Mohamed Sameer
    Paul, Babu Sena
    PROCEEDINGS OF THE 2017 TWENTY FIFTH INTERNATIONAL CONFERENCE ON THE DOMESTIC USE OF ENERGY (DUE), 2017, : 285 - 291
  • [49] Smart Lighting Systems as a Demand Response Solution for Future Smart Grids
    Lee, Chi Kwan
    Liu, Heng
    Fuhs, Desiree
    Kores, Andre
    Waffenschmidt, Eberhard
    IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2020, 8 (03) : 2362 - 2370
  • [50] A power limiting control strategy based on adaptive utility function for fast demand response of buildings in smart grids
    Tang, Rui
    Wang, Shengwei
    Gao, Dian-Ce
    Shan, Kui
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2016, 22 (06) : 810 - 819