用于工业应用的智能变压器

Gajanan C. Jaiswal, P. A. Venikar, M. Ballal, H. Suryawanshi, D. Tutakne
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引用次数: 0

摘要

在重工业,任何原因的停电都是不可容忍的。变压器是电力供应的关键部件。本文提出了一种用于工业应用的智能在线状态监测系统,用于电力/配电变压器的监测和状态分析。基于遗传算法优化的健康传感器输入权重,计算变压器的健康指数。实验在15 kVA, 400/400伏变压器上进行。采用常规数值方法和遗传算法计算健康指数。后者提供了改进的称重方法比前者。因此,本系统提供了智能配电变压器的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart transformers for industrial applications
In heavy industries, power curtailment due to any reason is never tolerable. Transformers are critical component in the supply of power. This paper presents a smart online condition monitoring system for industrial applications of power/distribution transformer monitoring and condition analysis. The health index (HI) of transformer is calculated based on weightage associated with healthy sensor input optimized by genetic algorithm (GA). The experimentation is performed on 15 kVA, 400/400 volts transformer. Health indices are computed by conventional numerical method and GA method. Latter offers improved weighing approach than the former. Therefore, proposed system offers development of a smart distribution transformer.
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