• DocumentCode
    35972
  • Title

    Adaptive Coordinated Voltage Control—Part I: Basic Scheme

  • Author

    Haomin Ma ; Hill, David J.

  • Author_Institution
    Ind. Training Centre, Shenzhen Polytech., Shenzhen, China
  • Volume
    29
  • Issue
    4
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1546
  • Lastpage
    1553
  • Abstract
    Based on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II.
  • Keywords
    adaptive control; knowledge acquisition; power system control; power system faults; voltage control; ACVC; England; adaptive coordinated voltage control; control information; knowledge acquisition; learning technique; online control; online knowledge accumulation; power system faults; real-time application; Adaptive systems; Aerospace electronics; Databases; Optimization; Power system dynamics; Power system stability; Voltage control; Adaptive control; coordinated voltage control; learning control; model predictive control; multi-objective optimization;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2293577
  • Filename
    6690257