Knowledge graph-based method for identifying topological structure of low-voltage distribution network
- Author(s): Gao Zepu 1 ; Luo Yongjian 1 ; Xu Ziwei 1 ; Yu Yilan 1 ; Zhang Lianmei 1
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View affiliations
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Affiliations:
1:
School of Electrical Engineering and Automation, Wuhan University , Wuhan, 430072 Hubei , People's Republic of China
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Affiliations:
1:
School of Electrical Engineering and Automation, Wuhan University , Wuhan, 430072 Hubei , People's Republic of China
- Source:
Volume 2020, Issue 12,
December
2020,
p.
1177 – 1184
DOI: 10.1049/joe.2019.1319 , Online ISSN 2051-3305
This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Received
29/12/2019,
Accepted
02/09/2020,
Revised
22/07/2020,
Published
09/09/2020

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Inspec keywords: graph theory; distribution networks; power transformers; information systems; data mining
Other keywords: knowledge graph technology; actual topological structure; low-voltage distribution network topological structure; knowledge graph-based method; hidden knowledge; topology identification; user–transformer relationship; correct topological relationship; semantic segmentation; low-voltage distribution network infrastructure project; low-voltage distribution network information system
Subjects: Combinatorial mathematics; Transformers and reactors; Distribution networks; Data handling techniques; Combinatorial mathematics
References
-
-
1)
-
12. Zhou, D., Zhang, M., Zhu, H., et al: ‘Research and application of intelligent distribution network dispatching interactive under the background of electric power system reformation’, Electr. Power Eng. Technol., 2018, 37, (2), pp. 89–94.
-
-
2)
-
18. Shi, B., Weninger, T.: ‘Discriminative predicate path mining for fact checking in knowledge graphs’, Knowl.-Based Syst., 2016, 104, pp. 123–133.
-
-
3)
-
9. Yan, Q., Wang, J., Huang, K., et al: ‘Analysis of equivalent topology and power- flow calculation model for pulsed power load’, Electr. Power Eng. Technol., 2018, 33, (23), pp. 5523–5531.
-
-
4)
-
20. Wang, C., Ma, X., Chen, J., et al: ‘Information extraction and knowledge graph construction from geoscience literature’, Comput. Geosci., 2018, 112, pp. 112–120.
-
-
5)
-
13. Liu, Q., Li, Y., Duan, H., et al: ‘Knowledge graph construction techniques’, J. Comput. Res. Dev., 2016, 53, (3), pp. 582–600.
-
-
6)
-
1. Liu, Y., Zhang, N., Kang, C.: ‘A review on data-driven analysis and optimization of power grid’, Autom. Electr. Power Syst., 2018, 42, (6), pp. 157–167.
-
-
7)
-
11. Sharon, Y., Annaswamy, A., Legbedji, M.A., et al: ‘Topology identification in distribution network with limited measurements’. 2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012, Washington, DC, USA., 2012, pp. 1–6.
-
-
8)
-
24. Typical design of infrastructure project for distribution network of 10 kV and below in Guangzhou Power Supply Bureau.2017-9-30.
-
-
9)
-
22. Yang, S., Han, R.: ‘A visual analysis of the status quo and trend of knowledge mapping research’, Intell. Data Work, 2012, 33, (4), pp. 22–28.
-
-
10)
-
10. Li, Y., Feng, B., Li, G., et al: ‘Optimal distributed generation planning in active distribution networks considering integration of energy storage’, Appl. Energy, 2018, 210, pp. 1073–1081.
-
-
11)
-
17. Uyar, A., Aliyu, F.M.: ‘Evaluating search features of Google knowledge graph and Bing satori’, Online Inf. Rev., 2015, 39, (2), pp. 197–213.
-
-
12)
-
25. Xiao, Y., Zhao, Y., Tu, Z., et al: ‘Topology checking method for low voltage distribution network based on improved Pearson correlation coefficient’, Power Syst. Prot. Control, 2019, 47, (11), pp. 37–43.
-
-
13)
-
7. Pappu, S.J., Bhatt, N., Pasumarthy, R., et al: ‘Identifying topology of low voltage (LV) distribution networks based on smart meter data’, IEEE Trans. Smart Grid, 2018, 9, pp. 5113–5122.
-
-
14)
-
5. Luan, W., Peng, J., Maras, M., et al: ‘Distribution network topology error correction using smart meter data analytics’. 2013 IEEE Power and Energy Society General Meeting (PES), Vancouver, BC, Canada, 2013.
-
-
15)
-
8. Lourenco, E.M., Coelho, E.P.R., Pal, B.C.: ‘Topology error and bad data processing in generalized state estimation’, IEEE Trans. Power Syst., 2015, 30, pp. 3190–3200.
-
-
16)
-
16. Singh, M.: ‘Protection coordination in distribution systems with and without distributed energy resources – a review’, Prot. Control Mod. Power Syst., 2017, 2, (1), p. 27.
-
-
17)
-
23. GB/T 23705-2009, Coding Rules for Place Names/Addresses of Digital City Geographic Information Public Platform.
-
-
18)
-
15. Zhu, G., Iglesias, C.A.: ‘Sematch: semantic similarity framework for knowledge graphs’, Knowl.-Based Syst., 2017, 130, pp. 30–32.
-
-
19)
-
3. Li, Y., Xu, L., Li, Y.: ‘Topology connecting strategy of the modular multilevel matrix converter for optimal switching times’, Electr. Power Eng. Technol., 2018, 33, (2), pp. 342–352.
-
-
20)
-
2. Lang, Y., Li, J., Luo, Y., et al: ‘Large power grid topology analysis based on graph partitioning’, Power Syst. Prot. Control, 2017, 45, (23), pp. 108–115.
-
-
21)
-
6. Ying, J., Mei, J., Wang, Y., et al: ‘Research on verification method of feeder topology model for distribution main station’, Power Syst. Prot. Control, 2018, 46, (7), pp. 83–89.
-
-
22)
-
21. Shi, Z., Zhang, L., Hu, X., et al: ‘Power system transient stability rules extraction based on multi-attribute decision tree’, Trans. China Electrotech. Soc., 2019, 34, pp. 1–12. Available at https://doi.org/10.19595/j.cnki.1000-6753.tces.180648.
-
-
23)
-
19. Li, X., Xu, J., Guo, Z., et al: ‘Construction and application of knowledge graph of power dispatching automation system’, Electr. Power, 2019, 52, pp. 1–8.
-
-
24)
-
14. Liu, Z., Wang, H.: ‘Retrieval method for defect records of power equipment based on knowledge graph technology’, Autom. Electr. Power Syst., 2018, 42, (14), pp. 158–164.
-
-
25)
-
4. Liao, Y., Weng, Y., Wu, M., et al: ‘Distribution grid topology reconstruction: an information theoretic approach’. North American Power Symp., Charlotte, NC, USA., 2015.
-
-
1)
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