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Response Based Emergency Control System for Power System Transient Stability

Author

Listed:
  • Huaiyuan Wang

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, Shaanxi, China)

  • Baohui Zhang

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, Shaanxi, China)

  • Zhiguo Hao

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an 710049, Shaanxi, China)

Abstract

A transient stability control system for the electric power system composed of a prediction method and a control method is proposed based on trajectory information. This system, which is independent of system parameters and models, can detect the transient stability of the electric power system quickly and provide the control law when the system is unstable. Firstly, system instability is detected by the characteristic concave or convex shape of the trajectory. Secondly, the control method is proposed based on the analysis of the slope of the state plane trajectory when the power system is unstable. Two control objectives are provided according to the methods of acquiring the far end point: one is the minimal cost to restore the system to a stable state; the other one is the minimal cost to limit the maximum swing angle. The simulation indicates that the mentioned transient stability control system is efficient.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12381-13520:d:59535
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    References listed on IDEAS

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    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. Soobae Kim & Thomas J. Overbye, 2015. "Optimal Subinterval Selection Approach for Power System Transient Stability Simulation," Energies, MDPI, vol. 8(10), pages 1-12, October.
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    Cited by:

    1. A. F. Diaz-Alzate & John E. Candelo-Becerra & Albert Deluque-Pinto, 2021. "Transient Stability Control Based on Kinetic Energy Changes Measured by Synchronized Angular Velocity," Energies, MDPI, vol. 14(21), pages 1-19, October.
    2. Ying-Yi Hong, 2016. "Electric Power Systems Research," Energies, MDPI, vol. 9(10), pages 1-4, October.
    3. 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.
    4. Peng Shen & Lin Guan & Zhenlin Huang & Liang Wu & Zetao Jiang, 2018. "Active-Current Control of Large-Scale Wind Turbines for Power System Transient Stability Improvement Based on Perturbation Estimation Approach," Energies, MDPI, vol. 11(8), pages 1-15, August.

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