• DocumentCode
    3596540
  • Title

    Smart optimal control of DVR to compensate voltage sag of the critical loads in the distribution power system

  • Author

    Heydari, Hojjat ; Oladali, Seyyed Mehdi ; Heydari, Enayat ; Nazarzadeh, Arsalan

  • Author_Institution
    Dept. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Voltage sag is one of the most severe power quality disturbances to be dealt with by the industrial sector, as it can cause severe process disruptions and results in substantial economic loss. This paper presents an optimal method of control for the low voltage dynamic voltage restorer (DVR). The DVR was a power electronics device that was able to compensate voltage sags on critical loads dynamically. The compensating signals are determined dynamically based on the difference between desired and measured values. The control strategy adopted for generating reference signal plays a key role in deciding the dynamic behavior of a system. This work proposes a novel control algorithm for simultaneous sag compensation. The salient advantages of the proposed method are compensating long duration deeper voltage sags, both for 1 phase and three phase voltage sag. The proposed method has been simulated with MATLAB Simulink to show the applicability of it rather than the other previous control methods of DVR.
  • Keywords
    optimal control; power distribution control; power supply quality; power system restoration; DVR; critical load; distribution power system; dynamic behavior; dynamic voltage restorer; power electronics device; power quality disturbances; smart optimal control; voltage sags compensation; Active filters; Integrated circuit modeling; Mathematical model; Power quality; Voltage control; Voltage fluctuations; Voltage measurement; Critical loads; DVR; Power quality; Voltage Sag; dynamic compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2014
  • Print_ISBN
    978-1-4799-8313-1
  • Type

    conf

  • DOI
    10.1109/SGC.2014.7151033
  • Filename
    7151033