• DocumentCode
    2054413
  • Title

    Smart Automatic Generation Control

  • Author

    Dingguo Chen ; Kumar, S. ; York, M. ; Lu Wang

  • Author_Institution
    Siemens Energy Inc., Minnetonka, MN, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    While the main objectives of Automatic Generation Control (AGC) remains unchanged, it becomes more challenging to operate AGC to achieve the desired generation control performance and overall system economics performance. There is a need to make AGC smarter so that it has the capability to handle the additional complexities introduced by the energy and ancillary service market environment, and the uncertainties introduced by the integration of renewable energy resources to the power grids, which are essentially intermittent in nature. This paper presents a unified optimal control framework where network security, system control performance, and system economics are all considered. Several key modules are presented and investigated within this unified framework. The impacts of renewable energy resources such as wind generation on AGC are studied.
  • Keywords
    optimal control; power generation control; power markets; power system economics; power system security; renewable energy sources; ancillary service market; energy market; network security; renewable energy resource; smart automatic generation control; system control performance; system economics performance; unified optimal control framework; Automatic generation control; Clocks; Economics; Frequency control; Neural networks; Renewable energy resources; Security; Automatic Generation Control (AGC); Control Performance Standards (CPS); Economic Dispatch (ED); Energy Management System (EMS); Predictive Economic Dispatch (PED); Renewable Energy Resources; Security Constrained Economic Dispatch (SCED); Smart AGC; Smart Grid; Very Short Term Load Prediction (VSTLP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345136
  • Filename
    6345136