• DocumentCode
    1761022
  • Title

    A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

  • Author

    STRASSER, THOMAS ; Andren, Filip ; Kathan, Johannes ; Cecati, Carlo ; Buccella, Concettina ; Siano, Pierluigi ; Leitao, Paulo ; Zhabelova, Gulnara ; Vyatkin, Valeriy ; Vrba, Pavel ; Marik, Vladimir

  • Author_Institution
    Energy Dept., AIT Austrian Inst. of Technol., Vienna, Austria
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    2424
  • Lastpage
    2438
  • Abstract
    Renewable energy sources are one key enabler to decrease greenhouse gas emissions and to cope with the anthropogenic climate change. Their intermittent behavior and limited storage capabilities present a new challenge to power system operators to maintain power quality and reliability. Additional technical complexity arises from the large number of small distributed generation units and their allocation within the power system. Market liberalization and changing regulatory framework lead to additional organizational complexity. As a result, the design and operation of the future electric energy system have to be redefined. Sophisticated information and communication architectures, automation concepts, and control approaches are necessary in order to manage the higher complexity of so-called smart grids. This paper provides an overview of the state of the art and recent developments enabling higher intelligence in future smart grids. The integration of renewable sources and storage systems into the power grids is analyzed. Energy management and demand response methods and important automation paradigms and domain standards are also reviewed.
  • Keywords
    demand side management; energy management systems; energy storage; renewable energy sources; smart power grids; demand response methods; energy management; future electric energy systems; future smart grids; power grids; renewable sources; storage systems; Artificial intelligence; Automation; Density estimation robust algorithm; Smart grids; Voltage control; Ancillary services; automation architectures; control concepts; demand response; demand response (DR); demand side management; demand-side management (DSM); distributed generation; energy storage; inverters; micro-grid; microgrid; power balancing; power networks; power system automation; re-newable energy sources; renewable energy sources; smart grid; standards;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2361486
  • Filename
    6915899