• DocumentCode
    3581516
  • Title

    Optimized PI constant for current controller of grid connected inverter with LCL filter using Genetic Algorithm

  • Author

    Windarko, Novie Ayub ; Qudsi, Ony Asrarul ; Tjahjono, Anang ; Dimas, Okky A. ; Purnomo, Mauridhi Hery

  • Author_Institution
    Dept. of Electr. Eng., Politek. Elektronika Negeri, Surabaya, Indonesia
  • fYear
    2014
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model. Furthermore, the complexity of system increased the difficulties of PI constants tuning. To tune the PI constants, controller loop is formulated as an objective function with constraints of transient responses and steady state error. GA (Genetic Algorithm) will optimize simultaneously to obtain optimal values for the constants of PI controller. The GA algorithm is simulated under MATLAB. Then, the optimized PI constants are verified in circuit of PSIM Simulator. Simulation results confirm the method could determine PI constants for the best response.
  • Keywords
    PI control; electric current control; genetic algorithms; invertors; power grids; transient response; LCL filter; MATLAB; PSIM simulator; balanced single-phase model; current controller; genetic algorithm; grid connected inverter; inverter current; optimized PI constant; steady state error; synchronous references frame; transient response; Convergence; Inverters; MATLAB; Mathematical model; Pi control; Genetic Algorithm; Grid Connected Inverter; LCL Filter; PI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Informatics (MICEEI), 2014 Makassar International Conference on
  • Print_ISBN
    978-1-4799-6725-4
  • Type

    conf

  • DOI
    10.1109/MICEEI.2014.7067300
  • Filename
    7067300