• DocumentCode
    1998
  • Title

    Evaluating the Impact of Registered Power Zones Incentive on Wind Systems Integration in Active Distribution Networks

  • Author

    Siano, Pierluigi

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Salerno, Salerno, Italy
  • Volume
    11
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    523
  • Lastpage
    530
  • Abstract
    For the better integration of distributed and renewable generation, new investments in innovative distribution networks, such as active distribution networks and smart grids (SGs), are required. Regulators should decide what incentives are desirable to create a flexible economic regulatory framework that can drive distribution system operators to invest in innovation and in active distribution networks. An innovative method that allows regulators assessing the impact of incentives related to investments in innovation in an electrical distribution network is presented in this paper. The method is flexible enough to allow different stakeholders like regulators, distribution companies, and developers to evaluate the long-term economic effects of their decisions. The effectiveness of the proposed method, based on nondominated sorting genetic algorithm and on multi-period optimal power flow, is verified on a 69-bus network.
  • Keywords
    distributed power generation; distribution networks; genetic algorithms; load flow; active distribution networks; distributed generation; electrical distribution network; innovative distribution networks; multiperiod optimal power flow; nondominated sorting genetic algorithm; registered power zones incentive; renewable generation; smart grids; wind systems integration; Economics; Energy loss; Investment; Regulators; Smart grids; Technological innovation; Wind energy; Active management (AM); distribution system operators; genetic algorithms; regulators; renewable energy sources; smart grids (SGs); wind systems;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2308053
  • Filename
    6747298