Smart Generation and Transmission With Coherent, Real-Time Data

被引:102
|
作者
Bakken, David E. [1 ]
Bose, Anjan [1 ]
Hauser, Carl H. [1 ]
Whitehead, David E. [2 ]
Zweigle, Gregary C. [2 ]
机构
[1] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
[2] Schweitzer Engn Labs Inc, Pullman, WA 99164 USA
关键词
Bulk power system; middleware; smart grid; synchrophasor; DAMPING CONTROLLER-DESIGN; PHASOR MEASUREMENTS; POWER; OSCILLATIONS; ALGORITHMS; BROADCAST;
D O I
10.1109/JPROC.2011.2116110
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, much of the discussion involving "smart grids" has implicitly involved only the distribution side, notably advanced metering. However, today's electric systems have many challenges that also involve the rest of the system. An enabling technology for improving the power system, which has emerged in recent years, is the ability to measure coherent, real-time data. In this paper, we describe major challenges facing electrical generation and transmission today that availability of these measurements can help address. We overview applications using coherent, real-time measurements that are in use today or proposed by researchers. Specifically, we describe, normalize, and then quantitatively compare key factors for these power applications that influence how the delivery system should be planned, implemented, and managed. These factors include whether a person or computer is in the loop and (for both inputs and outputs) latency, rate, criticality, quantity, and geographic scope. From this, we abstract the baseline communications requirements of a data delivery system supporting these applications and suggest implementation guidelines to achieve them. Finally, we overview the state of the art in the supporting computer science areas of overlay networking and distributed computing (including middleware) and analyze gaps in commercial middleware products, utility standards, and issues that limit low-level network protocols from meeting these requirements when used in isolation.
引用
收藏
页码:928 / 951
页数:24
相关论文
共 50 条
  • [1] 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,
  • [2] Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies
    Sanduleac, Mihai
    Lipari, Gianluca
    Monti, Antonello
    Voulkidis, Artemis
    Zanetto, Gianluca
    Corsi, Antonello
    Toma, Lucian
    Fiorentino, Giampaolo
    Federenciuc, Dumitru
    ENERGIES, 2017, 10 (07):
  • [3] Data-centric threats and their impacts to real-time communications in smart grid
    Wei, Mingkui
    Wang, Wenye
    COMPUTER NETWORKS, 2016, 104 : 174 - 188
  • [4] Data Transmission of IEEE1888 Communication for Wide-area Real-time Smart Grid Applications
    Ninagawa, Chuzo
    Yoshida, Hiroki
    Kondo, Seiji
    Otake, Hiroyuki
    PROCEEDINGS OF 2013 INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2013, : 509 - 514
  • [5] Benchmarking real-time vehicle data streaming models for a smart city
    Fernandez-Rodriguez, Jorge Y.
    Alvarez-Garcia, Juan A.
    Arias Fisteus, Jesus
    Luaces, Miguel R.
    Corcoba Magana, Victor
    INFORMATION SYSTEMS, 2017, 72 : 62 - 76
  • [6] Real-time Identification of False Data Injection Attack in Smart Grid
    Mukherjee, Debottam
    Chakraborty, Samrat
    2021 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2021,
  • [7] A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid
    Shah, Zubair
    Anwar, Adnan
    Mahmood, Abdun Naser
    Tari, Zahir
    Zomaya, Albert Y.
    IEEE TRANSACTIONS ON BIG DATA, 2020, 6 (04) : 624 - 637
  • [8] Real-time false data detection in smart grid based on fuzzy time series
    Khantach A.E.
    Hamlich M.
    Belbounaguia N.
    Instrumentation Mesure Metrologie, 2019, 18 (05): : 445 - 450
  • [9] Using Stream Data Processing for Real-Time Occupancy Detection in Smart Buildings
    Elkhoukhi, Hamza
    Bakhouya, Mohamed
    El Ouadghiri, Driss
    Hanifi, Majdoulayne
    SENSORS, 2022, 22 (06)
  • [10] Data Integrity Attacks against the Distributed Real-time Pricing in the Smart Grid
    Yang, Xinyu
    Zhang, Xialei
    Lin, Jie
    Yu, Wei
    Fu, Xinwen
    Zhao, Wei
    2016 IEEE 35TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC), 2016,