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Wide-Area Measurement—Based Model-Free Approach for Online Power System Transient Stability Assessment

Author

Listed:
  • Dan Huang

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Qiyu Chen

    (State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China)

  • Shiying Ma

    (State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China)

  • Yichi Zhang

    (State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China)

  • Shuyong Chen

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
    State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China)

Abstract

Online assessment of transient stability of power systems is critical for avoiding blackout. The increasing installation of phasor measurement units in power systems and the advancement of the wide-area measurement systems make it possible to develop methods for online assessment of power systems by using a large amount of real-time synchronous data. In this paper, we propose an approach based on the largest Lyapunov exponent (LLE) for online transient rotor angle stability assessment, using only wide-area measurement systems data. Through establishing a mathematical model that accounts for the LLE value and the rotor speed, as well as analyzing the post-fault phase-plane trajectory, we present a fast stability criterion to determine whether transient instability occurs. The proposed approach is model-free and does not need long-time LLE data to identify the final sign of the LLE. Furthermore, to reduce computational cost and realize online assessment for large-scale power systems, the critical generator pair (CGP) is recognized as the observation for the rotor angle stability assessment, and an effective algorithm for identifying the CGP is presented. Several case studies on the IEEE-39 bus test system and East China power grid are reported to demonstrate the accuracy and effectiveness of the proposed approach.

Suggested Citation

  • Dan Huang & Qiyu Chen & Shiying Ma & Yichi Zhang & Shuyong Chen, 2018. "Wide-Area Measurement—Based Model-Free Approach for Online Power System Transient Stability Assessment," Energies, MDPI, vol. 11(4), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:958-:d:141526
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    References listed on IDEAS

    as
    1. Huaiyuan Wang & Baohui Zhang & Zhiguo Hao, 2015. "Response Based Emergency Control System for Power System Transient Stability," Energies, MDPI, vol. 8(12), pages 1-13, November.
    2. Heng-Yi Su & Tzu-Yi Liu, 2017. "GECM-Based Voltage Stability Assessment Using Wide-Area Synchrophasors," Energies, MDPI, vol. 10(10), pages 1-16, October.
    3. Yanzhen Zhou & Junyong Wu & Zhihong Yu & Luyu Ji & Liangliang Hao, 2016. "A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier," Energies, MDPI, vol. 9(10), pages 1-20, September.
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    Cited by:

    1. Tao Zhou & Zhong Chen & Siqi Bu & Haoran Tang & Yi Liu, 2018. "Eigen-Analysis Considering Time-Delay and Data-Loss of WAMS and ITS Application to WADC Design Based on Damping Torque Analysis," Energies, MDPI, vol. 11(11), pages 1-15, November.
    2. Biyun Chen & Haoying Chen & Yiyi Zhang & Junhui Zhao & Emad Manla, 2019. "Risk Assessment for the Power Grid Dispatching Process Considering the Impact of Cyber Systems," Energies, MDPI, vol. 12(6), pages 1-18, March.
    3. Huimin Wang & Zhaojun Steven Li, 2022. "An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems," Journal of Risk and Reliability, , vol. 236(3), pages 495-507, June.
    4. Asghar Sabati & Ramazan Bayindir & Sanjeevikumar Padmanaban & Eklas Hossain & Mehmet Rida Tur, 2019. "Small Signal Stability with the Householder Method in Power Systems," Energies, MDPI, vol. 12(18), pages 1-16, September.

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