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High-Resistance Fault Detection Method of DC Microgrid Based on High-Frequency Component Energy

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Proceedings of 2021 International Top-Level Forum on Engineering Science and Technology Development Strategy (PMF 2019, PMF 2021)

Abstract

Direct Current (DC) microgrids have been widely used. It protection methods have been improved gradually, but when high-resistance faults occur, the countermeasures are still lacking. There is less information about high-impedance faults, which makes many protection methods unsuitable. This paper takes the high-frequency component of high-resistance faults as the research point, and proposes a method to decompose the transient zero-mode current through the Empirical Mode Decomposition (EMD) algorithm, and calculates the ratio of its high-frequency and residual energy, and compares it with the threshold. So as to carry out the method of high resistance fault identification. After inspection, the identification of high resistance can be realized, and the change law of high-frequency component and low-frequency component are found. Using Power Systems Computer Aided Design/Electromagnetic Transients including DC (PSCAD/EMTDC) as the platform, a simple two-port network is built to verify the proposed method. After that analyzed the shortcomings of the method, has looked forward to the future direction of improvement.

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Acknowledgements

This research was supported by the Beijing Natural Science Foundation(3214060), Beijing high level innovation team construction plan (IDHT20180502), Beijing Municipal Commission of education basic scientific research funds project, Yuyou talent support program of North China university of Techonology (NCUT), Research start-up fund project of NCUT.

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Correspondence to Liuming Jing .

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Jing, L., Wang, Y., Zhao, T., Zhou, J., Wen, C. (2022). High-Resistance Fault Detection Method of DC Microgrid Based on High-Frequency Component Energy. In: Xue, Y., Zheng, Y., Novosel, D. (eds) Proceedings of 2021 International Top-Level Forum on Engineering Science and Technology Development Strategy . PMF PMF 2019 2021. Lecture Notes in Electrical Engineering, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-16-7156-2_20

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  • DOI: https://doi.org/10.1007/978-981-16-7156-2_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7155-5

  • Online ISBN: 978-981-16-7156-2

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