• DocumentCode
    2150267
  • Title

    Intelligent PI control technique in four area Load Frequency Control of interconnected hydro-thermal power system

  • Author

    Prakash, Sachin ; Sinha, Sujeet Kumar

  • Author_Institution
    S.S.E.T., Dept. of Electr. & Electron. Eng., Sam Higginbottom Inst. of Agric., Technol. & Sci., Allahabad, India
  • fYear
    2012
  • fDate
    21-22 March 2012
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    This paper present the Load Frequency Control (LFC) of four area hydrothermal interconnected power system by using Artificial Neural Network (ANN) and conventional PI control approach. Area-1 and area-2 consists of thermal reheat power plant whereas area-3 and area-4 consists of hydro power plant. To enhance the performance of PI and Neural controller sliding surface is included. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of and ANN and PI controller based approaches shows the superiority of proposed ANN based approach over PI for same conditions.
  • Keywords
    PI control; frequency control; hydrothermal power systems; load management; neurocontrollers; power generation control; power system interconnection; ANN; LFC; MATLAB-SIMULINK package; PI controller sliding surface; area hydrothermal interconnected power system; artificial neural network; four area load frequency control; hydro power plant; intelligent PI control technique; neural controller sliding surface; performance enhancement; thermal reheat power plant; Artificial neural networks; ANN Controller; Area Control Error (ACE); Load Frequency Control (LFC); MATLAB / SIMULINK; PI Controller; Tie-line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
  • Conference_Location
    Kumaracoil
  • Print_ISBN
    978-1-4673-0211-1
  • Type

    conf

  • DOI
    10.1109/ICCEET.2012.6203749
  • Filename
    6203749