Abstract
A power transformer is an essential device for stable and reliable power transfer to customers. Therefore, accurate modeling of transformers is required for simulation-based analysis with the model. The paper proposes an efficient and straightforward parameter estimation of power transformers based on sweep frequency response analysis (SFRA) test data. The method first develops a transformer model consisting of repetitive RLC sections and mutual inductances and then aligns the simulated SFRA curve with the measured one by adjusting parameters. Note that this adjustment is based on individual parameter impacts on the SFRA curve. After aligning the two curves, the final transformer model can be obtained. In this paper, actual single-phase, three-winding transformer model parameters were estimated based on field SFRA data, showing that SFRA curves simulated from the estimated model are consistent with the measured data.
Highlights
Power systems transmit electric energy to consumers through essential devices
In other words, modeling of a power transformer and parameter estimation using frequency response analysis (FRA) is practicable because FRA results based on a highfrequency model represent transformer characteristics well
This paper proposes a high-frequency transformer model and an efficient parameter estimation method based on sweep frequency response analysis (SFRA) data
Summary
Power systems transmit electric energy to consumers through essential devices. For safety, power system operators must inspect the devices before connecting them to the system using computer simulations. In [3], the normal and fault states were compared using FRA, and the authors of [4] simulated the FRA on the high-frequency transformer model by changing various parameters. In [5,7,9,10,14,17,18,19,20], methods that calculate magnetic deformation using structural or physical analysis were presented with the comparison of normal and fault states via graphs. In other words, modeling of a power transformer and parameter estimation using FRA is practicable because FRA results based on a highfrequency model represent transformer characteristics well. This paper proposes a high-frequency transformer model and an efficient parameter estimation method based on SFRA data.
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