• DocumentCode
    44771
  • Title

    Decision Trees-Aided Active Power Reduction of a Virtual Power Plant for Power System Over-Frequency Mitigation

  • Author

    Moutis, Panayiotis ; Hatziargyriou, Nikos D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • Volume
    11
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    251
  • Lastpage
    261
  • Abstract
    The incorporation of distributed generation (DG) under the virtual power plant (VPP) paradigm allows the coherent central control, and the coordinated market integration of several and widely dispersed electric power sources. That way, VPPs can participate in frequency control by regulating in a coordinated manner their output power for the sake of system stability. This study analyzes a decision tree (DT)-based methodology that dispatches a requested reduction of active power within a VPP (among the sources it consists of), so as to support the mitigation of over-frequency. The presented control con-cept finds its application concerning grid support in case of over-frequency, and is also meant as a response to related reports and studies asking for the increased contribution of DG to overcome such phenomena.
  • Keywords
    decision trees; distributed power generation; frequency control; power control; power generation control; power generation dispatch; power markets; power plants; power system stability; smart power grids; DG; DT-based methodology; VPP paradigm; coherent central control; coordinated market integration; decision trees-aided active power reduction; dispersed electric power sources; distributed generation; frequency control; power system over-frequency mitigation; system stability; virtual power plant; Dispatching; Informatics; Loading; Monte Carlo methods; Power generation; Power systems; Schedules; Decision trees; Decision trees (DTs); distributed generation; distributed generation (DG); over-frequency; smart grid; virtual power plant;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2371631
  • Filename
    6960026