• DocumentCode
    226719
  • Title

    Fuzzy proportional-resonant control strategy for three-phase inverters in islanded micro-grid with nonlinear loads

  • Author

    Hongda Cai ; Wei Wei ; Yonggang Peng ; Huiyong Hu

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    707
  • Lastpage
    712
  • Abstract
    Conventional proportional-resonant controller is widely accepted and adopted in micro-grid applications. However, it´s hard to design a satisfactory conventional proportion-resonant controller due to the contradictory nature of the inverter´s stability, dynamic response speed and static tracking accuracy. Therefore, some trade-off strategies proposed in previous works are usually favored. This paper proposes a novel fuzzy proportional-resonant control strategy for a three-phase inverter, which can obtain better outcomes of three contradictory performance characteristics simultaneously. The detailed mathematical models and design procedure of the controller for the studied inverter are also presented. Compared with conventional proportional-resonant control strategy, the superiority of the proposed fuzzy proportional-resonant control strategy is significant for its better system stability, faster dynamic response speed and higher static tracking accuracy. Results from simulation are provided to verify the feasibility and effectiveness of the proposed approach.
  • Keywords
    distributed power generation; dynamic response; fuzzy control; invertors; power supply quality; proportional control; dynamic response; fuzzy proportional-resonant control; inverter stability; islanded microgrid; nonlinear loads; static tracking; three-phase inverters; Fuzzy logic; Gain; Inverters; Power harmonic filters; Regulators; Stability analysis; Voltage control; Fuzzy proportional-resonant control; frequency-domain analysis; inverters; nonlinear loads; parameter design; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891682
  • Filename
    6891682