A Distributed IoT Infrastructure to Test and Deploy Real-Time Demand Response in Smart Grids

被引:56
|
作者
Barbierato, Luca [1 ]
Estebsari, Abouzar [2 ]
Pons, Enrico [2 ]
Pau, Marco [3 ]
Salassa, Fabio [4 ]
Ghirardi, Marco [4 ]
Patti, Edoardo [1 ]
机构
[1] Politecn Torino, Dept Control & Comp Engn, I-10129 Turin, Italy
[2] Politecn Torino, Dept Energy, I-10129 Turin, Italy
[3] Rhein Westfal TH Aachen, Inst Automat Complex Power Syst, D-52074 Aachen, Germany
[4] Politecn Torino, Dept Management & Prod Engn, I-10129 Turin, Italy
基金
欧盟地平线“2020”;
关键词
Co-simulation; demand response (DR); distributed infrastructure; Internet-of-Things (IoT); real-time simulation (RTS); smart grid; smart metering architecture; CO-SIMULATION; ENERGY; ARCHITECTURE; ALGORITHM; PLATFORM; INTERNET;
D O I
10.1109/JIOT.2018.2867511
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a novel distributed framework for real-time management and co-simulation of demand response (DR) in smart grids. Our solution provides a (near-) real-time co-simulation platform to validate new DR-policies exploiting Internet-of-Things approach performing software-in-the-loop. Hence, the behavior of real-world power systems can be emulated in a very realistic way and different DR-policies can be easily deployed and/or replaced in a plug-and-play fashion, without affecting the rest of the framework. In addition, our solution integrates real Internet-connected smart devices deployed at customer premises and along the smart grid to retrieve energy information and send actuation commands. Thus, the framework is also ready to manage DR in a real-world smart grid. This is demonstrated on a realistic smart grid with a test case DR-policy.
引用
收藏
页码:1136 / 1146
页数:11
相关论文
共 50 条
  • [21] IoT-enhanced smart road infrastructure systems for comprehensive real-time monitoring
    Ye Z.
    Wei Y.
    Yang S.
    Li P.
    Yang F.
    Yang B.
    Wang L.
    Internet of Things and Cyber-Physical Systems, 2024, 4 : 235 - 249
  • [22] DISTRIBUTED FREQUENCY CONTROL VIA DEMAND RESPONSE IN SMART GRIDS
    Moghadam, Mohammad R. Vedady
    Ma, Richard T. B.
    Zhang, Rui
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 5233 - 5237
  • [23] A Distributed Algorithm for Managing Residential Demand Response in Smart Grids
    Safdarian, Amir
    Fotuhi-Firuzabad, Mahmud
    Lehtonen, Matti
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) : 2385 - 2393
  • [24] i13DR: A Distributed Real-Time Demand Response Infrastructure for Integrating Renewable Energy Resources
    Nasirifard, Pezhman
    Rivera, Jose
    Jergler, Martin
    Jacobsen, Hans-Arno
    E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2018, : 439 - 440
  • [25] Secure Real-Time Industrial IoT Communications in Smart Grids Using Named Data Networking
    Hui, Henry
    Grant, James
    McLaughlin, Kieran
    Laverty, David
    Sezer, Sakir
    2023 IEEE 21ST INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, INDIN, 2023,
  • [26] Resilient Distributed Real-Time Demand Response via Population Games
    Srikantha, Pirathayini
    Kundur, Deepa
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (06) : 2532 - 2543
  • [27] Distributed Real-Time IoT for Autonomous Vehicles
    Philip, Bigi Varghese
    Alpcan, Tansu
    Jin, Jiong
    Palaniswami, Marimuthu
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 1131 - 1140
  • [28] Demand Response in Smart Grids
    Faria, Pedro
    Vale, Zita
    ENERGIES, 2023, 16 (02)
  • [29] Real-Time Monitoring as Enabler for Smart Transmission Grids
    Barocio, E.
    Pal, Bikash C.
    Messina, A. R.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [30] Fast Real-Time Authentication Scheme for Smart Grids
    Ghosh, Sumit
    Ruj, Sushmita
    IOTSEC'17: PROCEEDINGS OF THE ACM WORKSHOP ON INTERNET OF THINGS (IOT) SECURITY: ISSUES AND INNOVATIONS, 2017,