• DocumentCode
    110267
  • Title

    Assessing the Impact of Incentive Regulation for Innovation on RES Integration

  • Author

    Siano, Pierluigi

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Salerno, Salerno, Italy
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2499
  • Lastpage
    2508
  • Abstract
    Investing in innovative Smart Grids (SGs) technology can reduce overall investments in distribution systems with unpredictable renewable energy sources (RES). Regulators should, therefore, decide what incentives are desirable and design a flexible economic regulatory framework able to encourage distribution system operators (DNOs) to decide for innovation in the SGs. An innovative method that can support the regulators in encouraging RES exploitation by determining the right incentives to favor investments in innovation in an electrical distribution network is proposed in this paper. The method allows stakeholders like regulators, distribution companies and developers evaluating the long-term economic effects of their decisions. The effectiveness of the proposed method, based on non-dominated sorting genetic algorithm (NSGA-II) and on multi-period optimal power flow (MP-OPF), is verified on an 84-bus network.
  • Keywords
    genetic algorithms; investment; load flow; power distribution economics; power distribution planning; power markets; renewable energy sources; smart power grids; MP-OPF; NSGA-II; RES integration; distribution system operator; electrical distribution network; flexible economic regulatory; incentive regulation impact assessment; investment reduction; multiperiod optimal power flow; nondominated sorting genetic algorithm; power distribution economics; renewable energy sources; smart grid; stakeholders; Companies; Economics; Investment; Optimization; Regulators; Smart grids; Technological innovation; Power distribution; power system economics; power system management; power system planning; power system simulation; smart grids; wind energy generation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2304831
  • Filename
    6746204