Title

Topology identification of low voltage distribution network based on current injection method

Journal title

Archives of Electrical Engineering

Yearbook

2021

Volume

vol. 70

Issue

No 2

Authors

Ge, Haotian ; Xu, Bingyin ; Chen, Wengang ; Zhang, Xinhui ; Bi, Yongjian

Affiliation

Ge, Haotian : Shandong University of Technology, China ; Xu, Bingyin : Shandong University of Technology, China ; Chen, Wengang : Shandong University of Technology, China ; Zhang, Xinhui : Shandong University of Technology, China ; Bi, Yongjian : Shandong University of Technology, China

Keywords

current injection ; low-voltage distribution network ; topology identification

Divisions of PAS

Nauki Techniczne

Coverage

297-306

Publisher

Polish Academy of Sciences

Bibliography

[1] Short T.A., Electric Power Distribution Handbook, Second Edition, Crc Press (2014).
[2] Bingyin X., Tianyou L. et al., Smart Distribution Grid and Distribution Automation, Automation of Electric Power Systems, vol. 33, no. 17, pp. 38–41 (2009).
[3] Jiang J., Liu L., Resonance mechanisms of a single line-to-ground fault on ungrounded systems, Archives of Electrical Engineering, vol. 69, no. 2, pp. 455–466 (2020).
[4] Grotas S., Yakoby Y., Gera I. et al., Power Systems Topology and State Estimation by Graph Blind Source Separation, IEEE Transactions on Signal Processing, vol. 67, no. (8), pp. 2036–2051 (2019).
[5] Tianyu L., Research on Fault Analysis and Topology Identification Based on Power Line Communication, Master Thesis, Control Engineering, China University of Geosciences (Beijing) (2019).
[6] Xiangyu K., YutingW., Xiaoxiao Y. et al., Optimal configuration of PMU based on customized genetic algorithm and considering observability of multiple topologies of distribution network, Electric Power Automation Equipment, vol. 40, no. 1, pp. 66–72 (2020).
[7] Chao Y., The Development and Manufacture of a Multi-Function Equipment for Low Voltage Area Identifed, Master Thesis, Electrical Engineering, China Dalian University of Technology (2014).
[8] Ya L., Rusen F., Wei J. et al., Research on the intelligent transformer area recognition method based on BP neural network, Electrical Measurement & Instrumentation, vol. 54, no. 3, pp. 25–30 (2017).
[9] Dong-Feng Y., Su-Quan Z. et al., A Novel Method for Power Grid Topology Identification Based on Incidence Matrix Simplification, East China Electric Power, vol. 42, no. 11, pp. 2254–2259 (2014).
[10] Jing M., Yuyu Z. et al., Power Network Topological Analysis Based on Incidence Matrix Notation Method and Loop Matrix, Automation of Electric Power Systems, vol. 38, no. 12, pp. 74–80 (2014).
[11] Zeyang T., Kunpeng Z., Kan C. et al., Substation Area Topology Verification Method Based on Distribution Network Operation Data, High Voltage Engineering, vol. 44, no. 4, pp. 1059–1068 (2018).
[12] Zongzong L., Xuezhong F., Qing W. et al., Station area recognition of distribution network based on electricity information acquisition system, Electrical Measurement and Instrumentation, vol. 56, no. 24, pp. 109–114 (2019).
[13] Jing M., Yuyu Z., Wei M. et al., Power Network Topological Analysis Based on Incidence Matrix Notation Method and Loop Matrix, Automation of Electric Power Systems, vol. 38, no. 12, pp. 74–80 (2014).
[14] Zonghui W., Yu C., Bingyin X. et al., Logical Node Based Topology Identification of Distributed Feeder Automation, Automation of Electric Power Systems, vol. 44, no. 12, pp. 124–130.
[15] Zengping W., Jinfang Z., Yagang Z., A novel substation configuration identification algorithm based on the set of breaker-path functions, Proceedings of the CSEE, vol. 33, no. 1, pp. 137–145 (2013).

Date

2021.06.24

Type

Article

Identifier

DOI: 10.24425/aee.2021.136985