Abstract
Frequency response analysis method is used for certain evaluating and monitoring of the winding displacement and deformation of transformer core to detect incipient faults. Frequency response analysis is based on the graphical analysis and comparison of the current measured transfer function with a base current. In this paper we use compound of haar wavelet transform and intelligent Simulated Anealing Algorithms (SA) and finally we compare the achieved parameters with Genetic Algorithm (GA).
Highlights
Frequency Response Analysis (FRA) has been utilized as an off-line diagnosis test since last decade to investigate mechanical integrity of transformer
Since in the frequency response analysis method, frequency behavior of the transformer is studied in a wide range of frequency, having a model so that it can help to analyze the frequency behavior of the transformer or to use for sensitivity analysis applications is of great importance
This paper proposes a model that has fewer nodes and can accurately predict the behavior of a transformer in a wide range of frequencies
Summary
Frequency Response Analysis (FRA) has been utilized as an off-line diagnosis test since last decade to investigate mechanical integrity of transformer. Since in the frequency response analysis method, frequency behavior of the transformer is studied in a wide range of frequency, having a model so that it can help to analyze the frequency behavior of the transformer or to use for sensitivity analysis applications is of great importance. A model that includes transformer characteristics over a wide frequency range has not been provided yet properly. Due to the complexity and unknown behavior of high frequency coils, its modeling is complex. In the Detailed Model, to study and calculate the voltage in points inside coils is regarded as suitable purposes of modeling. This method is used to study the transient behavior of coils. arrangement of elements and to analyze them is the first step for presenting a proper model
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