• DocumentCode
    2792250
  • Title

    Electrical energy storage in Smart Grid: Black-start study using a real-time digital simulator

  • Author

    Noce, Christian ; Riva, Stefano ; Sapienza, Gianluca ; Brenna, Morris

  • Author_Institution
    Infrastruct. & Network Div., Enel Distribuzione S.p.A., Milan, Italy
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    216
  • Lastpage
    220
  • Abstract
    The future development of modern electrical systems must to evolve towards Smart Grids. The Smart Grids context involves several players and automation functions, such as Distributed Generators with their related controls, Intelligent Load Management, Smart Metering, infrastructures for Electric Mobility, Energy Storage, etc. In particular an Energy Storage system favors the connection of renewable generators and can improve the network stability. Moreover it can be used to energize a portion of a grid in islanding operation in case of loss of mains. This function is so-called black-start. This paper analyzes the new Energy Storage system installed by Enel Distribuzione S.p.A. in the center of Italy into the “Isernia Pilot Project” on Smart Grids, for the operation in black-start mode. The study is performed using the RTDS real-time digital simulator, in order to qualify the best way to perform the blackstart.
  • Keywords
    digital simulation; energy storage; power engineering computing; smart power grids; Enel Distribuzione S.p.A; RTDS real-time digital simulator; automation functions; black-start mode; black-start study; distributed generators; electric mobility; electrical energy storage; energy storage system; intelligent load management; islanding operation; modern electrical systems development; network stability; smart grid; smart metering; Batteries; Inverters; Real time systems; Regulators; Smart grids; Voltage control; Real-Time Digital Simulator; Smart Grids; Storage Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2012 3rd IEEE International Symposium on
  • Conference_Location
    Aalborg
  • Print_ISBN
    978-1-4673-2021-4
  • Electronic_ISBN
    978-1-4673-2022-1
  • Type

    conf

  • DOI
    10.1109/PEDG.2012.6254004
  • Filename
    6254004