Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test

Abstract

The electric power transformer is an essential part of an electrical power system since it is used to step up or down voltage levels to maintain the system performance as well as possible. Frequency response analysis (FRA) is one of the most widely used techniques for detecting various types of mechanical damage in transformers. The equivalent circuit of the transformer will be represented by a complex network of R, L, and C elements in the FRA technique. For transformer faults diagnosis, various calculation techniques and diagnostic techniques may be used, such as acoustic emission analysis, thermal images of electromagnetic radiation, transformer temperature, and humidity analysis. SFRA test is one of these techniques that could be used to determine the fault type based on its response over a wide frequency range. The main challenge of the SFRA test is that the functional interpretation requirement for this test is not universally accepted Also statistical features are defined for this SFRA response to be used in fault detection and classification. In this paper, the effect of the transformer rating on the fault diagnosis techniques using SFRA is tested. Also, the effect of the transformer VA rating on the statistical parameters and the classification rules of fault diagnosis is discussed. Finally, the features used in fault diagnosis are ranked according to its independence of the transformer rating resulting in a more accurate matching fault diagnosis technique.

Estimation of the transformer parameters from nameplate data using turbulent flow of water optimization technique

“…The centrifugal force is modeled as illustrated in (10), which randomly occurs in one dimension of the decision variables. The centrifugal force is determined based on the angle between the whirlpool and the object, as shown in (10), and if this force is greater than a random value in the range [0, 1], the centrifugal action is performed for randomly selected dimension, as shown in (11). This phenomenon can be expressed mathematically as follows:…”

“…So, the transformer should be protected from these faults immediately. Such faults are split into electrical and mechanical faults [1]- [11]. The model for the transformer is of critical importance to the study of abnormalities phenomena as well as the design process.…”