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A Novel Method for Online Measuring the Capacity of Distribution Transformers

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Frontiers in Computer Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 133))

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Abstract

The work aims to develop a method for online measuring the capacity of distribution transformers (DTs). The relation expression of the short-circuit impedance (SCI) with respect to the voltage and current of the primary and secondary side has been developed through the analysis of the equivalent circuit model of transformer, in which the primary voltage is instead by ideal voltage source signal to avoid collect the primary voltage. And the online SCI is computed by fitting the obtained voltage and current data via the linear fitting technique. Furthermore, the online capacity of the transformer can be acquired by using the obtained SCI. The simulation based on Matlab/smulink are carried out, the results verified the feasibility and effectiveness of the novel method mentioned above with high accuracy.

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References

  1. Wu, X.H.: Research on the on-line detection Method for the loss and capacity of distribution transformer. Chongqing University, Chongqing (2010)

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Author information

Authors and Affiliations

  1. Zhe Jiang Qu Zhou Power Supply Bureau, Quzhou, Zhejiang, 324000, China

    Feng-Dan Lou & Yue-Zhong Wang

  2. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, 400044, China

    Wei He & Xia Li

Authors
  1. Feng-Dan Lou
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  2. Yue-Zhong Wang
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  3. Wei He
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  4. Xia Li
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Editor information

Editors and Affiliations

  1. South China Normal University, Guangzhou, 510631, China, People's Republic

    Sabo Sambath

  2. South China Normal University, Guangzhou, 510631, China, People's Republic

    Egui Zhu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Cite this chapter

Lou, FD., Wang, YZ., He, W., Li, X. (2012). A Novel Method for Online Measuring the Capacity of Distribution Transformers. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_148

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  • DOI: https://doi.org/10.1007/978-3-642-27552-4_148

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27551-7

  • Online ISBN: 978-3-642-27552-4

  • eBook Packages: EngineeringEngineering (R0)

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