Load factor improvement in industrial sector using load duration curves

Jutatip Surai, Vichai Surapatana
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引用次数: 5

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.
利用负荷持续时间曲线改善工业部门的负荷系数
本文提出了一种利用荷载持续时间曲线分析荷载分量变异性的替代方法。根据用电量的频率,对用户的活动和短时间的临界峰值需求进行分类。然而,电厂的负荷系数取决于对峰值需求的控制或裁剪。因此,用户需要识别可能对其账单产生高影响的电气设备。该技术使我们能够准确地解决工厂的高峰需求问题。它具有应用方便、需求侧管理准确、降低电力系统高峰需求、效率高等优点,为提高负荷因数提供了更好的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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