• DocumentCode
    50279
  • Title

    Adaptive Coordinated Voltage Control—Part II: Use of Learning for Rapid Response

  • 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
    1554
  • Lastpage
    1561
  • Abstract
    This is the second part of a two-part paper on a new adaptive coordinated voltage control (ACVC) strategy. The overall basic scheme and the online control for prepared faults have been presented in Part I. In this paper, learning control is explored to accumulate knowledge, so that the online control performances can be improved for unknown emergencies. For unknown situations where no past experiences can be exploited, a learning scheme is used by which the control knowledge can be acquired gradually. The learnt knowledge goes into the database and is improved the next time a related situation happens. After full knowledge is acquired, the unknown fault becomes a prepared fault with prepared knowledge. With the learning scheme, control for any emergency can be realized in a rapid and effective response. The learning process is demonstrated by providing control for an unknown emergency in the New England 39-bus power system. The ACVC performance for a sequence of randomly generated fault and load event emergencies is presented at the end of this paper.
  • Keywords
    adaptive control; electrical faults; iterative methods; learning systems; voltage control; ACVC strategy; New England 39-bus power system; adaptive coordinated voltage control; database; fault; learning control; load event emergencies; online control performance; Aerospace electronics; Control systems; Databases; Generators; Power systems; System performance; 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.2013.2293572
  • Filename
    6704334