A fault property identification scheme for the restarting of hybrid HVDC system

• A fault property identification scheme for the restarting of hybrid HVDC system is proposed. • The fault properties are identified by injecting steady current signal. • The proposed fault property identification scheme can avoid the blindness of the traditional restart strategy. • Injecting steady current signal can avoid large short-circuit currents under permanent fault conditions. The hybrid HVDC system will be widely used in the future. Since transient faults account for the majority of all overhead line faults, the system restart is essential to restoring the power supply of the hybrid HVDC system. However, the traditional restart strategy blindly restores the DC voltage after a fixed time delay, which will result in secondary damage to the system in the case of permanent faults. In order to enhance the safety and reliability of power supply, this paper proposes a fault identification scheme using active signal injection from the MMC to determine the fault properties (transient or permanent) before restarting. This technique uses a steady current signal to detect faults and reduce the risk of large short-circuit currents during permanent faults. The change of line voltage after injecting the signal under different fault types is analyzed, which also serves as the theoretical basis for identifying the fault properties. The proposed scheme is easy to implement and can avoid the secondary damage to the system. A typical hybrid HVDC system is modeled for simulation in PSCAD/EMTDC, and the correctness and effectiveness of the scheme are verified.

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-02-26
DOI
https://doi.org/10.1016/j.ijepes.2025.110527
Citations
3
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A fault property identification scheme for the restarting of hybrid HVDC system

Ke Han, Minghao Wen, Ruizhi Ma, Yu Chen
3 citations
International Journal of Electrical Power & Energy Systems
HVDC Systems and Fault Protection
2.19
article

A fault property identification scheme for the restarting of hybrid HVDC system

Ke Han, Minghao Wen, Ruizhi Ma, Yu Chen
article en
3 citations

Abstract

• A fault property identification scheme for the restarting of hybrid HVDC system is proposed. • The fault properties are identified by injecting steady current signal. • The proposed fault property identification scheme can avoid the blindness of the traditional restart strategy. • Injecting steady current signal can avoid large short-circuit currents under permanent fault conditions. The hybrid HVDC system will be widely used in the future. Since transient faults account for the majority of all overhead line faults, the system restart is essential to restoring the power supply of the hybrid HVDC system. However, the traditional restart strategy blindly restores the DC voltage after a fixed time delay, which will result in secondary damage to the system in the case of permanent faults. In order to enhance the safety and reliability of power supply, this paper proposes a fault identification scheme using active signal injection from the MMC to determine the fault properties (transient or permanent) before restarting. This technique uses a steady current signal to detect faults and reduce the risk of large short-circuit currents during permanent faults. The change of line voltage after injecting the signal under different fault types is analyzed, which also serves as the theoretical basis for identifying the fault properties. The proposed scheme is easy to implement and can avoid the secondary damage to the system. A typical hybrid HVDC system is modeled for simulation in PSCAD/EMTDC, and the correctness and effectiveness of the scheme are verified.

International Journal of Electrical Power & Energy SystemsVol. 166
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 13%
HVDC Systems and Fault Protection
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.