245 / 2021-11-04 14:41:16
Identification Method of Negative and Weak Damping Generator Sets Based on TLS-ESPRIT and Damping Torque Analysis
Final Paper
Hongxun Li / School of Electrical Engineering, Southwest Jiaotong University
Aiming at the ultra-low frequency oscillation or low frequency phenomenon in power system, it is necessary to identify the negative or weak damping gensets which cause the oscillation accurately to formulate control measures ensuring the safe and stable operation of power grid. Therefore, this paper proposes an effective identification method based on a total least squares-estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT) and damping torque analysis (DTA). In this method, firstly the dominant oscillation mode of each generator is extracted from measured signals (e.g. rotor speed, rotor angle, and active power) at its side by means of TLS-ESPRIT, and then corresponding damping torque coefficient can be obtained through the least square fitting method to determine whether the generator is the oscillation source of this oscillation mode. Finally, case studies are carried out on the 4-machine 2-area system. Simulation results indicate that the proposed method can accurately identify the native damping units.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST