• DocumentCode
    3195056
  • Title

    PSO based optimal PI tunning of AHCC D-STATCOM

  • Author

    Pudi, Vasudeva Naidu ; Banakara, Basavaraja

  • Author_Institution
    Electr. & Electron. Eng., GITAM Univ., Hyderabad, India
  • fYear
    2015
  • fDate
    20-22 May 2015
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    This paper presents a design of adaptive hysteresis current controller (AHCC) by optimal tuning of PI regulator using PSO technique for a distribution static compensator (D-STATCOM). It is desirable to have optimal values of Kp and Ki in a PI regulator to decreases steady state error and improve stability of the system. This generates accurate values of reference injected currents and compare with instantaneous injected currents with help of AHCC in D-STATCOM. Hence to mitigate the source current harmonics and to improve the power quality in distribution system under different load considerations. The dynamic model of D-STATCOM has been adopted with AHCC by using MATLAB/Simulink. The optimal value Kp and Ki in a PI regulator are computed using particle swarm optimization (PSO) technique and the results are verified by genetic algorithm (GA). The simulations result show that the proposed PSO technique gives minimum error and optimally chosen parameters of PI, as compared to GA technique.
  • Keywords
    PI control; adaptive control; electric current control; genetic algorithms; harmonics suppression; optimal control; particle swarm optimisation; power distribution control; power supply quality; power system stability; static VAr compensators; AHCC D-STATCOM; GA; PSO based optimal PI regulator tunning; adaptive hysteresis current controller; distribution static compensator; distribution system stability; genetic algorithm; particle swarm optimization; power quality improvement; source current harmonic mitigation; Automatic voltage control; Genetic algorithms; Hysteresis; Power harmonic filters; Regulators; Switches; Adaptive Hysteresis current Controller (AHCC); Distribution static compensator (D-STATCOM); Genetic Algorithm (GA); Optimization techniques (OT); Particle Swarm Optimization (PSO); Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering (EPE), 2015 16th International Scientific Conference on
  • Conference_Location
    Kouty nad Desnou
  • Type

    conf

  • DOI
    10.1109/EPE.2015.7161063
  • Filename
    7161063