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
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;
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
DOI :
10.1109/iEECON.2014.6925905