A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems
Abstract
Protection against dc faults is one of the main technical hurdles faced when operating converter-based HVdc systems. Protection becomes even more challenging for multi-terminal dc (MTdc) systems with more than two terminals/converter stations. In this paper, a hybrid primary fault detection algorithm for MTdc systems is proposed to detect a broad range of failures. Sensor measurements, i.e., line currents and dc reactor voltages measured at local terminals, are first processed by a top-level context clustering algorithm. For each cluster, the best fault detector is selected among a detector pool according to a rule resulting from a learning algorithm. The detector pool consists of several existing detection algorithms, each performing differently across fault scenarios. The proposed hybrid primary detection algorithm: i) offers superior performance compared to an individual detector through a data-driven approach; ii) detects all major fault types including pole-to-pole (P2P), pole-to-ground (P2G), and external dc faults; iii) identifies faults with various fault locations and impedances; iv) is more robust to noisy sensor measurements compared to existing methods; v) does not require exhaustive simulation and sampling for training the model. Performance and effectiveness of the proposed algorithm are evaluated and verified based on time-domain simulations in the PSCAD/EMTDC software environment.more »
- Authors:
-
[1];
[2];
[1];
[1]
- Georgia Institute of Technology, Atlanta, GA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Electricity (OE)
- OSTI Identifier:
- 1862142
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Power Delivery
- Additional Journal Information:
- Journal Volume: 37; Journal Issue: 2; Journal ID: ISSN 0885-8977
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; voltage measurement; circuit faults; transmission line measurements; current measurement; inductors; fault detection; circuit breakers; multi-terminal HVdc systems; dc-side faults
Citation Formats
Sun, Jingfan, Debnath, Suman, Bloch, Matthieu, and Saeedifard, Maryam. A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems. United States: N. p., 2022.
Web. doi:10.1109/tpwrd.2021.3083642.
Sun, Jingfan, Debnath, Suman, Bloch, Matthieu, & Saeedifard, Maryam. A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems. United States. https://doi.org/10.1109/tpwrd.2021.3083642
Sun, Jingfan, Debnath, Suman, Bloch, Matthieu, and Saeedifard, Maryam. Wed .
"A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems". United States. https://doi.org/10.1109/tpwrd.2021.3083642. https://www.osti.gov/servlets/purl/1862142.
@article{osti_1862142,
title = {A Hybrid DC Fault Primary Protection Algorithm for Multi-Terminal HVdc Systems},
author = {Sun, Jingfan and Debnath, Suman and Bloch, Matthieu and Saeedifard, Maryam},
abstractNote = {Protection against dc faults is one of the main technical hurdles faced when operating converter-based HVdc systems. Protection becomes even more challenging for multi-terminal dc (MTdc) systems with more than two terminals/converter stations. In this paper, a hybrid primary fault detection algorithm for MTdc systems is proposed to detect a broad range of failures. Sensor measurements, i.e., line currents and dc reactor voltages measured at local terminals, are first processed by a top-level context clustering algorithm. For each cluster, the best fault detector is selected among a detector pool according to a rule resulting from a learning algorithm. The detector pool consists of several existing detection algorithms, each performing differently across fault scenarios. The proposed hybrid primary detection algorithm: i) offers superior performance compared to an individual detector through a data-driven approach; ii) detects all major fault types including pole-to-pole (P2P), pole-to-ground (P2G), and external dc faults; iii) identifies faults with various fault locations and impedances; iv) is more robust to noisy sensor measurements compared to existing methods; v) does not require exhaustive simulation and sampling for training the model. Performance and effectiveness of the proposed algorithm are evaluated and verified based on time-domain simulations in the PSCAD/EMTDC software environment. The results confirm satisfactory operation, accuracy, and detection speed of the proposed algorithm under various fault scenarios.},
doi = {10.1109/tpwrd.2021.3083642},
journal = {IEEE Transactions on Power Delivery},
number = 2,
volume = 37,
place = {United States},
year = {Wed May 25 00:00:00 EDT 2022},
month = {Wed May 25 00:00:00 EDT 2022}
}
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