Title

Low-voltage overhead lines topology identification method based on high-frequency signal injection

Journal title

Archives of Electrical Engineering

Yearbook

2021

Volume

vol. 70

Issue

No 4

Affiliation

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

Authors

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

Keywords

high-frequency signal injection ; low-voltage overhead line ; topology identification

Divisions of PAS

Nauki Techniczne

Coverage

791-800

Publisher

Polish Academy of Sciences

Bibliography

[1] Thomas Allen Short, Electric Power Distribution Handbook, Second Edition, CRC Press (2014).
[2] Kersting W., Distribution System Modeling and Analysis, Fourth Edition, CRC Press (2017).
[3] 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).
[4] Jun Jiang, Ling Liu, Resonance mechanisms of a single line-to-ground fault on ungrounded systems, Archives of Electrical Engineering, vol. 69, no. 2, pp. 455–466 (2020).
[5] Fan Kaijun, Xu Bingyin, Dong Jun et al., Identification method for feeder topology based on successive polling of smart terminal unit, Automation of Electric Power Systems, vol. 39, no. 11, pp. 180–186 (2015).
[6] Zhu Guofang, Shen Peifeng, Wang Yong et al., Dynamic identification method of feeder topology for distributed feeder automation based on topological slices, Power System Protection and Control, vol. 46, no. 14, pp. 152–157 (2018).
[7] Li X., Poor H.V., Scaglione A., Blind topology identification for power systems, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), IEEE, pp. 91–96 (2013).
[8] Lazaropoulos A.G., Measurement Differences, Faults and Instabilities in Intelligent Energy Systems– Part 1: Identification of Overhead High-Voltage Broadband over Power Lines Network Topologies by Applying Topology Identification Methodology (TIM), Trends in Renewable Energy, vol. 2, no. 3, pp. 85–112 (2016). [9] Lazaropoulos A.G., Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) – Study of the Overhead Medium-Voltage Broadband over Power Lines (OVMVBPL) Networks Case, Trends inRenewable Energy, vol. 3, no. 2, pp. 102–128 (2017).
[10] Passerini F., Tonello A.M., Power line network topology identification using admittance measurements and total least squares estimation, 2017 IEEE International Conference on Communications (ICC), pp. 1–6 (2017).
[11] Soumalas K., Messinis G., Hatziargyriou N., A data driven approach to distribution network topology identification, 2017 IEEE Manchester PowerTech, pp. 1–6 (2017).
[12] Ge Haotian, Xu Binyin, Topology Identification of Low Voltage Distribution Network Based on Current Injection Method, Archives of Electrical Engineering, vol. 70, no. 2, pp. 297–306 (2021).

Date

2021.11.30

Type

Article

Identifier

DOI: 10.24425/aee.2021.138261