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RETRACTED: A Robust WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

Author

Listed:
  • Tao Jin

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

  • Fuliang Chu

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

  • Cong Ling

    (Department of Electrical & Electronic Engineering, Imperial College London, London SW7 2BT, UK)

  • Daniel Legrand Mon Nzongo

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

Abstract

With the development of modern society, the scale of the power system is rapidly increased accordingly, and the framework and mode of running of power systems are trending towards more complexity. It is nowadays much more important for the dispatchers to know exactly the state parameters of the power network through state estimation. This paper proposes a robust power system WLS state estimation method integrating a wide-area measurement system (WAMS) and SCADA technology, incorporating phasor measurements and the results of the traditional state estimator in a post-processing estimator, which greatly reduces the scale of the non-linear estimation problem as well as the number of iterations and the processing time per iteration. This paper firstly analyzes the wide-area state estimation model in detail, then according to the issue that least squares does not account for bad data and outliers, the paper proposes a robust weighted least squares (WLS) method that combines a robust estimation principle with least squares by equivalent weight. The performance assessment is discussed through setting up mathematical models of the distribution network. The effectiveness of the proposed method was proved to be accurate and reliable by simulations and experiments.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:4:p:2769-2787:d:47989
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    References listed on IDEAS

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    1. Ye Guo & Wenchuan Wu & Boming Zhang & Hongbin Sun, 2014. "A Fast Solution for the Lagrange Multiplier-Based Electric Power Network Parameter Error Identification Model," Energies, MDPI, vol. 7(3), pages 1-12, March.
    2. Honglei Song & Junyong Wu & Kui Wu, 2014. "A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems," Energies, MDPI, vol. 7(4), pages 1-27, April.
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    Cited by:

    1. 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.
    2. 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.
    3. Energies Editorial Office, 2015. "RETRACTED: Jin et al. A Robust WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology. Energies 2015, 8 , 2769–2787," Energies, MDPI, vol. 8(10), pages 1, October.
    4. 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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