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Algorithm for Fast and Efficient Detection and Reaction to Angle Instability Conditions Using Phasor Measurement Unit Data

Author

Listed:
  • Igor Ivanković

    (Croatian Transmission System Operator Ltd., 10000 Zagreb, Croatia)

  • Igor Kuzle

    (Department of Energy and Power Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Ninoslav Holjevac

    (Department of Energy and Power Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

In wide area monitoring, protection, and control (WAMPAC) systems, angle stability of transmission network is monitored using data from phasor measurement units (PMU) placed on transmission lines. Based on this PMU data stream advanced algorithm for out-of-step condition detection and early warning issuing is developed. The algorithm based on theoretical background described in this paper is backed up by the data and results from corresponding simulations done in Matlab environment. Presented results aim to provide the insights of the potential benefits, such as fast and efficient detection and reaction to angle instability, this algorithm can have on the improvement of the power system protection. Accordingly, suggestion is given how the developed algorithm can be implemented in protection segments of the WAMPAC systems in the transmission system operator control centers.

Suggested Citation

  • Igor Ivanković & Igor Kuzle & Ninoslav Holjevac, 2018. "Algorithm for Fast and Efficient Detection and Reaction to Angle Instability Conditions Using Phasor Measurement Unit Data," Energies, MDPI, vol. 11(3), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:681-:d:136775
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    References listed on IDEAS

    as
    1. Tao Jin & Fuliang Chu & Cong Ling & Daniel Legrand Mon Nzongo, 2015. "RETRACTED: A Robust WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology," Energies, MDPI, vol. 8(4), pages 1-19, April.
    2. Igor Ivanković & Igor Kuzle & Ninoslav Holjevac, 2017. "Wide Area Information-Based Transmission System Centralized Out-of-Step Protection Scheme," Energies, MDPI, vol. 10(5), pages 1-28, May.
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    Citations

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    Cited by:

    1. Ziad M. Ali & Seyed-Ehsan Razavi & Mohammad Sadegh Javadi & Foad H. Gandoman & Shady H.E. Abdel Aleem, 2018. "Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus," Energies, MDPI, vol. 11(6), pages 1-17, June.
    2. Mario Klarić & Igor Kuzle & Ninoslav Holjevac, 2018. "Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining," Energies, MDPI, vol. 11(12), pages 1-23, December.
    3. 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.
    4. Amirreza Mehri & Kazem Mazlumi & Hamed HashemiDezaki & Mohammad Hasan Mansouri & Ramin Mahyaei, 2023. "A Novel Approach for Elimination of Defects of Blocking and Unblocking in Distance Relays during Power Swing," Sustainability, MDPI, vol. 15(18), pages 1-21, September.

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