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Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit

Author

Listed:
  • Ngo Minh Khoa

    (Faculty of Engineering and Technology, Quy Nhon University, Binh Dinh 820000, Vietnam)

  • Doan Duc Tung

    (Faculty of Engineering and Technology, Quy Nhon University, Binh Dinh 820000, Vietnam)

Abstract

The flexible alternating current transmission systems (FACTS) have been widely used in modern power systems. Because of the presence of the FACTS devices, distance relays in transmission lines may inaccurately locate fault locations. Therefore, it is significant to find a mechanism for locating fault in transmission lines connected to FACTS in which a static var compensator (SVC) is investigated in this work. Based on the development of a phasor measurement unit (PMU) with global positioning system (GPS), this paper proposes a new method for calculating apparent impedance seen by the distance relay location while a short-circuit fault occurs in a transmission line connected the SVC to the midpoint of the line. According to the method, sampled voltage and current measurement at the relay and SVC locations are synchronized using PMUs and the synchronized measurements are then used to calculate a new apparent impedance and to locate the fault location in the line. The method in this paper has the capability for fast calculation and it also has the robustness for identifying different fault types in power systems. Matlab/Simulink software is applied to simulate the study results and to evaluate the correctness of the modeling and effectiveness of the proposed method for locating fault in this paper.

Suggested Citation

  • Ngo Minh Khoa & Doan Duc Tung, 2018. "Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit," Energies, MDPI, vol. 11(9), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2380-:d:168737
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    References listed on IDEAS

    as
    1. Michal Wydra, 2018. "Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation," Energies, MDPI, vol. 11(4), pages 1-20, April.
    2. Yufei Teng & Xiaopeng Li & Qi Huang & Yifei Wang & Shi Jing & Zhenchao Jiang & Wei Zhen, 2017. "A Novel High-Frequency Voltage Standing-Wave Ratio-Based Grounding Electrode Line Fault Supervision in Ultra-High Voltage DC Transmission Systems," Energies, MDPI, vol. 10(3), pages 1-17, March.
    3. Le Van Dai & Doan Duc Tung & Tran Le Thang Dong & Le Cao Quyen, 2017. "Improving Power System Stability with Gramian Matrix-Based Optimal Setting of a Single Series FACTS Device: Feasibility Study in Vietnamese Power System," Complexity, Hindawi, vol. 2017, pages 1-21, January.
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    Cited by:

    1. Gyul Lee & Do-In Kim & Seon Hyeog Kim & Yong-June Shin, 2019. "Multiscale PMU Data Compression via Density-Based WAMS Clustering Analysis," Energies, MDPI, vol. 12(4), pages 1-17, February.

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