• DocumentCode
    1650019
  • Title

    Active power line conditioners: an approach using intelligent systems

  • Author

    Da Silva, L. E Borges ; da Silva, V. Ferreira ; Torres, G. Lambert ; Olivier, G. ; April, G.-E.

  • Author_Institution
    Escola Federal de Engenharia de Itajuba, Brazil
  • fYear
    1995
  • Firstpage
    796
  • Lastpage
    802
  • Abstract
    Power factor, nowadays, is a critical matter. The ever increasing utilization of power electronics in all kinds of industry applications and the severe standards requirements are pushing the research toward new solutions to keep the industrial power factor around certain values. Switched capacitors banks bring together problems that are not easy to solve, such as parallel resonance and overvoltage. This article describes the application of a hybrid power converter as an active line conditioner. The hybrid converter basically is a power converter bridge with two GTOs that transform it into a fully controllable inverter. Therefore, this power converter allows independent control of voltage and displacement factor. When appropriated controlled, this converter can produce part of the reactive power consumed by the load. Made with a well known technology, this converter is suitable for large power compensation applications. Theoretical analysis and experimental results are presented. A control strategy based on learning is also proposed. This structure, an hierarchical approach, uses hints, coded in fuzzy conditional rules, to train a neural network responsible for power converter variables manipulation
  • Keywords
    DC-AC power convertors; fuzzy control; intelligent control; invertors; learning (artificial intelligence); load (electric); neurocontrollers; power factor correction; power system harmonics; reactive power control; thyristor convertors; voltage control; GTOs; active power line conditioners; displacement factor control; fully controllable inverter; hierarchical approach; hybrid power converter; industrial power factor; intelligent systems; learning; load; neural network training; reactive power consumption; voltage regulation; Bridge circuits; Capacitors; Displacement control; Electronics industry; Industry applications; Inverters; Power electronics; Reactive power; Resonance; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Energy Conference, 1995. INTELEC '95., 17th International
  • Conference_Location
    The Hague
  • Print_ISBN
    0-7803-2750-0
  • Type

    conf

  • DOI
    10.1109/INTLEC.1995.499050
  • Filename
    499050