Fault Location Methods in HVDC Transmission System—A Review

Keshri, Jay Prakash; Tiwari, Harpal

doi:10.1007/978-981-15-0214-9_45

Cited by 5 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared to High Voltage Alternating Current (HVAC) systems, HVDC systems possess numerous advantages, such as improved reliability, reduced transmission losses, and lower transmission costs. With the recent development of power semiconductor devices, the overall efficiency of the HVDC system has been improved [2], and [3]. The present-day HVDC transmission technology is a reliable option for transmitting electrical power.…”

Section: Introductionmentioning

confidence: 99%

Application of Time-Frequency Analysis with Selection of Suitable Mother Wavelets for Transient States of HVDC Transmission Lines

Chachar,

Memon,

Ansari

2023

SSURJET

View full text Add to dashboard Cite

Recent developments in power semiconductor devices have made High Voltage Direct Current (HVDC) transmission systems the most crucial technology for future power systems. Today several HVDC projects have been commissioned around the world. The primary concern for such an advanced HVDC grid is to follow standard grid codes to maintain the safety and stability of the electrical equipment during transient and dynamic circumstances. Although the HVDC system has been recognized as the most prominent technology to transmit electric power, some issues must be addressed, such as selective and quick detection of faults. For selective fault detection, it is essential to look into the several fault detection strategies that fortify the HVDC system with time-frequency signal processing techniques. This research uses a time frequency-based method to identify the different HVDC transmission line faults. The most suitable mother wavelet for various transient states is selected by analyzing fault voltage and current signals based on variance, standard deviation, and range parameters. An experimental setup of a thyristor-based HVDC transmission system has been developed in the MATLAB/Simulink environment, and multiple fault scenarios have been analyzed. The simulation outcomes reveal that the most effective mother wavelet for detecting DC line, symmetrical and unsymmetrical faults occurs at the 6th level of fault signal decomposition. By examining current and voltage signals, our work has determined the best mother wavelet for various faults. Using more than one mother wavelet to detect faults is more reliable than using a single mother wavelet to detect all faults. Additionally, it has been noted that each fault's voltage and current signals have two distinct mother wavelets.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of Time-Frequency Analysis with Selection of Suitable Mother Wavelets for Transient States of HVDC Transmission Lines

Chachar,

Memon,

Ansari

2023

SSURJET

View full text Add to dashboard Cite

show abstract

“…The single-ended protection system is also designed to enhance the speed of FIC [13], but its application is limited to HVDC transmission systems comprising large capacitors in parallel. The DC fault protection based on transient voltage [14], frequency and time characteristics of fault current [15] - [17], electromagnetic time reversal (EMTR) [18], [19], Pearson similarity [20]- [22], K means classification [23], linear discriminant analysis [24], [25] are also proposed in literature. Further, with an introduction of the concept of time lag for the FL, the two-terminal measurement-based method is devised for FIC near CSs [22], [26], [27].…”

Section: Introductionmentioning

confidence: 99%

Low Impedance Fault Identification and Classification Based on Boltzmann Machine Learning for HVDC Transmission Systems

Muzzammel

Raza

2022

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

Identification and classification of DC faults are considered as fundamentals of DC grid protection. A sudden rise of DC fault current must be identified and classified to immediately operate the corresponding interrupting mechanism. In this paper, the Boltzmann machine learning (BML) approach is proposed for identification and classification of DC faults using travelling waves generated at fault point in voltage source converter based high-voltage direct current (VSC-HVDC) transmission system. An unsupervised way of feature extraction is performed on the frequency spectrum of the travelling waves. Binomial class logistic regression (BCLR) classifies the HVDC transmission system into faulty and healthy states. The proposed technique reduces the time for fault identification and classification because of reduced tagged data with few characteristics. Therefore, the faults near or at converter stations are readily identified and classified. The performance of the proposed technique is assessed via simulations developed in MATLAB/Simulink and tested for pre-fault and post-fault data both at VSC1 and VSC2, respectively. Moreover, the proposed technique is supported by analyzing the root mean square error to show practicality and realization with reduced computations.

show abstract

“…In addition, power flow controllability and flexibility of HVDC systems improves system stability during AC transients and allows efficient transmission of power from fluctuating and renewable power sources (Heyman et al, 2010). Hence, HVDC transmissions will have a significant part in the power grid transition to a more sustainable and renewable source based generation (Keshri and Tiwari, 2018). Grid connection of remote offshore wind power plants, bulk power transmissions and interconnections between nations are some examples of its application, which will contribute to the power grid of the future.…”

Section: Introductionmentioning

confidence: 99%

Challenges for Protection of Future HVDC Grids

et al. 2020

View full text Add to dashboard Cite

Nowadays, High Voltage Direct Current (HVDC) transmissions are gaining relevance in long distance and renewable energy integration projects over the conventional Alternating Current (AC) transmissions due to several advantages as improved flexibility and independent active and reactive power controllability. Despite that, the high currents and voltage collapses generated by fault conditions in HVDC systems imply some unresolved technical challenges regarding the detection, location and clearance of faults. Faults have to be cleared in a very short time range in order to minimize their impact on the system. For this objective, very fast protection algorithms and reliable HVDC circuit breakers are required. This paper focuses on the technical challenges and limitations of HVDC protection systems. This way, protection requirements and different types of measurement devices are considered. Protection algorithms are classified into local-measurement-based and communication-based, highlighting the most important characteristics. In addition, the different technologies of HVDC circuit breakers are compared. Finally, the characteristics and effects of the different available fault-clearing strategies are presented.

show abstract

Fault Location Methods in HVDC Transmission System—A Review

Cited by 5 publications

References 18 publications

Application of Time-Frequency Analysis with Selection of Suitable Mother Wavelets for Transient States of HVDC Transmission Lines

Application of Time-Frequency Analysis with Selection of Suitable Mother Wavelets for Transient States of HVDC Transmission Lines

Low Impedance Fault Identification and Classification Based on Boltzmann Machine Learning for HVDC Transmission Systems

Challenges for Protection of Future HVDC Grids

Contact Info

Product

Resources

About