• DocumentCode
    122629
  • Title

    Load factor improvement in industrial sector using load duration curves

  • Author

    Surai, Jutatip ; Surapatana, Vichai

  • Author_Institution
    Dept. of Electr. Eng., Kasetsart Univ., Bangkok, Thailand
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an alternative technique for the analysis of variability of load components by using load duration curve. The user´s activities and critical peak demand for short duration obtained from annual profile data are classified according to the frequency of electricity consumption. However, load factor of a plant depends on the control or clipping of a peak demand. Thus, the users need to identify electric device which may cause high impact on their bills. This technique enables us to solve a peak demand problem in a plant accurately. It can provide a better way for load factor improvement with the ease of application, accuracy in demand side management which decreases the peak demand in electrical system and high efficiency.
  • Keywords
    demand side management; power consumption; power station load; annual profile data; demand side management; electricity consumption; industrial sector; load component variability analysis; load duration curve; peak demand clipping; peak demand control; plant load factor improvement; Annealing; Coatings; Indexes; Neural networks; Planning; Power industry; Time-frequency analysis; Demand Side Management; Load Duration Curve; Load Factor; Peak Demand; Self Organizing Map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering Congress (iEECON), 2014 International
  • Conference_Location
    Chonburi
  • Type

    conf

  • DOI
    10.1109/iEECON.2014.6925905
  • Filename
    6925905