A Novel Direct Load Control Testbed for Smart Appliances

被引:8
作者
Garrido-Zafra, Joaquin [1 ]
Moreno-Munoz, Antonio [1 ]
Gil-de-Castro, Aurora [1 ]
Palacios-Garcia, Emilio J. [2 ]
Moreno-Moreno, Carlos D. [1 ]
Morales-Leal, Tomas [3 ]
机构
[1] Univ Cordoba, Elect & Comp Engn Dept, E-14071 Cordoba, Spain
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[3] Univ Cordoba, Elect Engn Dept, E-14071 Cordoba, Spain
关键词
demand response; direct load control; home energy management system; mixed-integer linear programming; ENERGY MANAGEMENT-SYSTEMS; ELECTRICITY CONSUMPTION; DEMAND RESPONSE; MODEL; INTERNET; THINGS;
D O I
10.3390/en12173336
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
The effort to continuously improve and innovate smart appliances (SA) energy management requires an experimental research and development environment which integrates widely differing tools and resources seamlessly. To this end, this paper proposes a novel Direct Load Control (DLC) testbed, aiming to conveniently support the research community, as well as analyzing and comparing their designs in a laboratory environment. Based on the LabVIEW computing platform, this original testbed enables access to knowledge of major components such as online weather forecasting information, distributed energy resources (e.g., energy storage, solar photovoltaic), dynamic electricity tariff from utilities and demand response (DR) providers together with different mathematical optimization features given by General Algebraic Modelling System (GAMS). This intercommunication is possible thanks to the different applications programming interfaces (API) incorporated into the system and to intermediate agents specially developed for this case. Different basic case studies have been presented to envision the possibilities of this system in the future and more complex scenarios, to actively support the DLC strategies. These measures will offer enough flexibility to minimize the impact on user comfort combined with support for multiple DR programs. Thus, given the successful results, this platform can lead to a solution towards more efficient use of energy in the residential environment.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Power demand control scenarios for smart grid applications with finite number of appliances
    Vardakas, John S.
    Zorba, Nizar
    Verikoukis, Christos V.
    APPLIED ENERGY, 2016, 162 : 83 - 98
  • [32] A Smart Home Appliances Control System Based On Digital Electronics and GSM Network
    Johar, R. A.
    Fakieh, E.
    Allagani, R.
    Qaisar, S. M.
    2018 15TH LEARNING AND TECHNOLOGY CONFERENCE (L&T), 2018, : 52 - 58
  • [33] Collaborative control of thermostatically controlled appliances for balancing renewable generation in smart grid
    Zhao, Bing
    Zeng, Lukun
    Li, Bin
    Sun, Yi
    Wang, Zengping
    Shalvad, Muhammad
    Xi, Peifeng
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2020, 15 (03) : 460 - 468
  • [34] Simulation and Analysis of Electric Water Heater Load Regulation Model Based on Direct Load Control
    Li Hucheng
    Wang Xinwei
    Yuan Yubo
    Su Wei
    Gong Yanfeng
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [35] Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control
    Gao, Ciwei
    Li, Qianyu
    Li, Yang
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2014, 34 (10): : 1546 - 1555
  • [36] Direct Load Control in Microgrids to Enhance the Performance of Integrated Resources Planning
    Zhu, Lan
    Yan, Zheng
    Lee, Wei-Jen
    Yang, Xiu
    Fu, Yang
    Cao, Wei
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (05) : 3553 - 3560
  • [37] Effect of Demand Response on Residential Energy Efficiency with Direct Load Control and Dynamic Price Control
    Basnet, Saurav M. S.
    Aburub, Haneen
    Jewell, Ward
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [38] A Novel Hybrid Control Strategy for Demand Response in Smart Grids
    Malik, Anam
    Ravishankar, Javashri
    2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), 2016, : 765 - 770
  • [39] Hierarchical and distributed demand response control strategy for thermostatically controlled appliances in smart grid
    Wenting WEI
    Dan WANG
    Hongjie JIA
    Chengshan WANG
    Yongmin ZHANG
    Menghua FAN
    JournalofModernPowerSystemsandCleanEnergy, 2017, 5 (01) : 30 - 42
  • [40] The role of perceived control over appliances in the acceptance of electricity load-shifting programmes
    Moser, Corinne
    ENERGY EFFICIENCY, 2017, 10 (05) : 1115 - 1127