Article ID Journal Published Year Pages File Type
399605 International Journal of Electrical Power & Energy Systems 2013 10 Pages PDF
Abstract

In this paper, we present an improved overload decision system for oil-immersed distribution transformers under 100 kVA using load monitoring data. Our study can be categorized into two parts: (a) improvement in the criteria for judging the overload conditions of distribution transformers and (b) development of an overload evaluation system using load monitoring data. In order to determine the overload criteria, overload experiments are performed on sample transformers; the results of these experiments are used to define the relationship between the transformer overload and the increase in the top-oil temperature. To verify the accuracy of the experimental results, field tests are performed using specially manufactured transformers, the loads and top-oil temperatures of which can be measured. For arriving at online overload decisions, we propose methods whereby the measured load curve can be converted into an overload characteristic curve and the overload time can be calculated for any load condition. The developed system is able to evaluate the overload for individual distribution transformers using load monitoring data.

► We present an improved overload decision system for distribution transformers. ► We improve the criteria for judging the overload of distribution transformers. ► In order to determine the overload criteria, overload experiments are performed. ► We verify the accuracy of the experimental results through field tests. ► We propose the conversion method for the overload characteristic curve.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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