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Automated Data Acquisition Based Transformer Parameters Estimation

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 60))

Abstract

The advancement of new technologies has brought many changes in traditional electric power systems, especially in the terms of the new monitoring systems, real time load flow calculations and advanced computer simulations and analysis of electric power systems. For each of these applications, the knowledge of the accurate system components parameters are crucial. However, the parameters of system components are not easily accessible, especially when it comes to transformers parameters. Since it is generally required to disconnect the transformer from the power system in order to measure and calculate the parameters, the transformer off-line time needs to be reduced as much as possible. This paper proposes a method for automated data acquisition based transformer parameters calculation, which reduces the transformer off-line time, and improves power quality. Results conducted on a real power transformer demonstrated that the developed hardware and user interface software are easy to use, with fast and accurate calculation. This paper makes a contribution to the existing body of knowledge by developing and testing an automated method for transformer parameters calculation, whose application represents an improvement when compared to the traditional process of calculating the transformer parameters.

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Correspondence to Elma Begic .

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Begic, E., Hubana, T. (2019). Automated Data Acquisition Based Transformer Parameters Estimation. In: Avdaković, S. (eds) Advanced Technologies, Systems, and Applications III. IAT 2018. Lecture Notes in Networks and Systems, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-030-02577-9_38

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