Design of a comprehensive protection algorithm for fault detection, classification, and location in high voltage direct current transmission lines connected to wind farms based on local terminal measurements

With the increasing adoption of bipolar high-voltage direct-current (HVDC) transmission lines for wind farm integration, the development of fast, accurate, and communication-independent protection schemes has become a critical technical requirement. This paper proposes a comprehensive protection algorithm within an integrated single-ended framework that performs fault detection, fault classification, and fault location simultaneously using only local voltage and current measurements. In the detection stage, transient current signals are processed through common- and differential-mode decomposition to ensure fast and reliable fault inception identification. In the classification stage, the faulted pole and fault type are determined by exploiting the dynamic voltage patterns of the two poles. For fault location, an analytical model is developed based on the voltage–current relationships of the bipolar HVDC line, while explicitly accounting for self-resistance, mutual resistance, and inter-pole coupling effects. In addition, the protection thresholds are systematically defined using per-unit parameters and dimensionless indices, together with statistical criteria extracted from the system behavior under both normal and faulted conditions; this enhances their tunability, robustness, and applicability across different HVDC configurations. The proposed method is evaluated in the MATLAB/Simulink environment under varying operating conditions, fault resistance values, and line-parameter uncertainties. Simulation results show that the average and maximum fault detection delays are 3.32 ms and 4.96 ms, respectively. Moreover, the faulted pole is identified with complete accuracy, while the average and maximum fault-location errors are 0.69% and 0.98%, respectively, confirming the high speed, accuracy, and robustness of the proposed protection scheme.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-09-24
DOI
https://doi.org/10.1371/journal.pone.0356053
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Design of a comprehensive protection algorithm for fault detection, classification, and location in high voltage direct current transmission lines connected to wind farms based on local terminal measurements

Vahid Davatgaran, Mahyar Abasi, Morteza Azizi
PLoS ONE
HVDC Systems and Fault Protection
article

Design of a comprehensive protection algorithm for fault detection, classification, and location in high voltage direct current transmission lines connected to wind farms based on local terminal measurements

Vahid Davatgaran, Mahyar Abasi, Morteza Azizi
article en

Abstract

With the increasing adoption of bipolar high-voltage direct-current (HVDC) transmission lines for wind farm integration, the development of fast, accurate, and communication-independent protection schemes has become a critical technical requirement. This paper proposes a comprehensive protection algorithm within an integrated single-ended framework that performs fault detection, fault classification, and fault location simultaneously using only local voltage and current measurements. In the detection stage, transient current signals are processed through common- and differential-mode decomposition to ensure fast and reliable fault inception identification. In the classification stage, the faulted pole and fault type are determined by exploiting the dynamic voltage patterns of the two poles. For fault location, an analytical model is developed based on the voltage–current relationships of the bipolar HVDC line, while explicitly accounting for self-resistance, mutual resistance, and inter-pole coupling effects. In addition, the protection thresholds are systematically defined using per-unit parameters and dimensionless indices, together with statistical criteria extracted from the system behavior under both normal and faulted conditions; this enhances their tunability, robustness, and applicability across different HVDC configurations. The proposed method is evaluated in the MATLAB/Simulink environment under varying operating conditions, fault resistance values, and line-parameter uncertainties. Simulation results show that the average and maximum fault detection delays are 3.32 ms and 4.96 ms, respectively. Moreover, the faulted pole is identified with complete accuracy, while the average and maximum fault-location errors are 0.69% and 0.98%, respectively, confirming the high speed, accuracy, and robustness of the proposed protection scheme.

PLoS ONEVol. 21(9)
Arak University (IR), Technical and Vocational University (IR)
Affordable and clean energy
Openalex Percentile: Top 21%
HVDC Systems and Fault Protection
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.