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Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System

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  • Raheel Muzzammel

    (Department of Electrical Engineering, University of Lahore, Lahore 54000, Pakistan)

Abstract

The HVDC transmission system is winning hearts of researchers and electrical engineers because of its notable merits as compared to the HVAC transmission system in the case of long-distance bulk power transmission. The HVDC transmission system is known for its low losses, effective control ability, efficiency and reliability. However, because of the sudden build-up of fault current in the HVDC transmission system, conventional relays and circuit breakers are required to be modified. Detection of fault location is an important parameter of protection of the HVDC transmission system. In this research paper, fault location methods based on traveling waves are reviewed for the HVDC transmission system. Arrival time and natural frequency are the two parameters of measurement in traveling waves. Advantages and disadvantages of methods of traveling waves with respect to their quantities of measurements are analyzed critically. Further, a two-terminal HVDC test grid is simulated over Matlab/Simulink. Different types of AC and DC faults and at different locations are analyzed on a test grid. A traveling wave-based technique of fault estimation is developed and is evaluated for identification, classification and finding location of faults to validate its performance. Moreover, this technique is supported with analysis of fast Fourier transform to accelerate its practicality and realization.

Suggested Citation

  • Raheel Muzzammel, 2019. "Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System," Energies, MDPI, vol. 12(19), pages 1-31, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3614-:d:269553
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    References listed on IDEAS

    as
    1. Yan Xu & Jingyan Liu & Weijia Jin & Yuan Fu & Hui Yang, 2018. "Fault Location Method for DC Distribution Systems Based on Parameter Identification," Energies, MDPI, vol. 11(8), pages 1-18, July.
    2. Shuo Zhang & Guibin Zou & Qiang Huang & Houlei Gao, 2018. "A Traveling-Wave-Based Fault Location Scheme for MMC-Based Multi-Terminal DC Grids," Energies, MDPI, vol. 11(2), pages 1-15, February.
    3. Lingtong Jiang & Qing Chen & Wudi Huang & Lei Wang & Yu Zeng & Pu Zhao, 2018. "Pilot Protection Based on Amplitude of Directional Travelling Wave for Voltage Source Converter-High Voltage Direct Current (VSC-HVDC) Transmission Lines," Energies, MDPI, vol. 11(8), pages 1-15, August.
    4. Tongkun Lan & Yinhong Li & Xianzhong Duan & Jia Zhu, 2018. "Simplified Analytic Approach of Pole-to-Pole Faults in MMC-HVDC for AC System Backup Protection Setting Calculation," Energies, MDPI, vol. 11(2), pages 1-16, January.
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    Cited by:

    1. Ming Chen & Xuandong Liu & Chengjun Liang & Yi Zhao & Hao Tang, 2019. "Study on Surface Charge Accumulation Characteristics of Resin Impregnated Paper Wall Bushing Core Under Positive DC Voltage," Energies, MDPI, vol. 12(23), pages 1-14, November.
    2. Raheel Muzzammel & Rabia Arshad & Ali Raza & Nebras Sobahi & Umar Alqasemi, 2023. "Two Terminal Instantaneous Power-Based Fault Classification and Location Techniques for Transmission Lines," Sustainability, MDPI, vol. 15(1), pages 1-24, January.
    3. Raheel Muzzammel & Ali Raza, 2020. "A Support Vector Machine Learning-Based Protection Technique for MT-HVDC Systems," Energies, MDPI, vol. 13(24), pages 1-33, December.

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