Abstract
In order to find the disconnection of medium and low-voltage lines timely and effectively, based on the big data of power supply established by the special work of marketing, distribution and regulation data sharing and integration, this paper constructs a research and adjustment model for typical medium and low-voltage faults from the perspective of electrical value (voltage, current, unbalance rate) in the low-voltage side of the distribution transformer. It analyzes the logical relationship of corresponding electrical characteristic values after faults such as line disconnection, single-phase loss and single-phase grounding of the distribution transformer when the 10 kV distribution transformer operates under different load factors, winding connection group, three-phase unbalance rate and system voltage, and applies fault warning model in the daily operation and maintenance of the distribution network, to improve the quality of active repair service, shorten the fault finding and users’ power outage time, and improve the reliability of power supply.
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References
Zhu, L., Li, C., Zhang, H., et al.: Negative sequence current distributing and single-phase open-line fault protection in distribution network. Power Syst. Protect. Control 37(9), 35–43 (2009)
Jia, Q., Liu, L., Yang, Y., et al.: Abrupt change detection with wavelet for small current fault relaying. In: Proceedings of the CSEE, vol. 21, no. 10, pp. 78–82 (2001)
You, Y., Liu, D., Li, L., et al.: Detection method based on load monitoring for 10 kV overhead line single-phase. Power Syst. Protect. Control 40(19), 144–149 (2012)
Liu, Y., Meng, Q.: Study on dual characteristic of two kinds open phase running. Power Syst. Protect. Control 36(23), 14–17 (2008)
Qu, G., Li, C.: Simulative study on steady-state performance of DFIG. Electric Power Autom. Equip. 25(12), 35–38 (2005)
Zhang, H., Pan, Z., Sang, Z.: Analysis of complex line breaking and grounding fault in the power system with neutral point indirectly grounded. Relay 32(18), 6–9 (2004)
Jia, W., Chen, J., Xu, C., et al.: Fault diagnosis for line-open with line-to-ground on radial distribution network by method of double frequency diagnosis. In: Proceedings of the CSU-EPSA, vol. 11, no. 2, pp. 20–24 (1999)
Wang, D., Song, Y., Zhu, Y.: Information platform of smart grid based on cloud computing. Autom. Electric Power Syst. 34(22), 7–12 (2010)
Wang, G., Li, B., Hu, Z., et al.: Challenges and future evolution of control center under smart grid environment. Power Syst. Technol. 35(8), 1–5 (2011)
Qu, C., Wang, L., Qu, N., et al.: Knowledge processing and visual modeling method in smart grid. Science Press, Beijing (2013)
Liu, K., Sheng, W., Zhang, D., et al.: Big Data application requirements and scenario analysis in smart distribution network. In: Proceedings of the CSEE, vol. 35, no. 2, pp. 287–293 (2015)
Mu, L., Cui, L., An, N.: Research and practice of cloud computing center for power system. Power Syst. Technol. 35(6), 170–175 (2011)
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Pan, J., An, Y., Cao, B., Liu, Y., Xu, J. (2020). Research and Application of Judgement Technology of Typical Medium and Low-Voltage Faults Based on Big Data Technology. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_196
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DOI: https://doi.org/10.1007/978-981-15-2568-1_196
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