• DocumentCode
    78247
  • Title

    A Taguchi Approach for Optimum Design of Proportional-Integral Controllers in Cascaded Control Scheme

  • Author

    Hasanien, Hany M. ; Muyeen, S.M.

  • Author_Institution
    Electr. Power & Machines Dept., Ain Shams Univ., Cairo, Egypt
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    1636
  • Lastpage
    1644
  • Abstract
    This study aims at resolving a specific problem in the area of renewable energy, energy storage systems, variable-speed drives, and flexible AC transmission system (FACTS) devices used in the electric power systems. The use of power conversion system (PCS) is very common in the aforementioned areas. A cascaded control scheme based on four proportional-integral (PI) controllers is widely used in the control of the PCS unit. Setting the parameters of the four cascaded PI controllers simultaneously is cumbersome, especially when the application is in the area of electrical power system which is difficult to express using a mathematical model or transfer function due to its nonlinear properties. This paper presents an optimum design procedure for the cascaded controller of the PCS unit using Taguchi method. To apply the design parameters obtained from Taguchi method, a renewable energy application is chosen where a variable-speed wind turbine generator system is connected to the power grid through two back-to-back PCS units. The effectiveness of the designed parameters using Taguchi method is then compared with that obtained using response surface methodology and genetic algorithm (RSM-GA) method under the grid fault condition.
  • Keywords
    PI control; Taguchi methods; genetic algorithms; power control; power conversion; renewable energy sources; response surface methodology; FACTS; Taguchi approach; cascaded control scheme; electric power systems; energy storage systems; flexible AC transmission system devices; grid fault condition; optimum design; power conversion system; power grid; proportional integral controllers; renewable energy; response surface methodology and genetic algorithm method; variable speed drives; Design methodology; Energy storage; Generators; Genetic algorithms; Reactive power; Renewable energy resources; Tuning; Frequency converter; Taguchi method; genetic algorithm; optimum design of proportional-integral (PI) controller; renewable energy; response surface methodology; wind energy conversion system;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2224385
  • Filename
    6363500