Journal of Modern Power Systems and Clean Energy
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Home > Archive>Volume 13, Issue 2, 2025 >403-414. DOI:10.35833/MPCE.2024.000169
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Online Tracking of Local Damping in Power Systems with High Proportion of Renewable Energy Sources Under Ambient Data
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Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China

Fund Project:

This work was supported by National Key Research and Development Program of China (No. 2021YFB2400800).

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    Abstract:

    As the proportion of renewable energy sources continues to increase, the local damping contributions of sources in power system decrease, posing a challenge to the power system stability. Therefore, online tracking of the damping contributions of each source is crucial for the prevention of low-frequency oscillations. This paper proposes an online tracking method of local damping under ambient data. The proposed method is based on dissipation energy spectrum analysis (DESA) and the energy dissipation factor (EDF). First, the feasibility of using frequency-domain analysis for the dissipation energy of generator is analyzed. The frequency spectral function of dissipation energy of generator is then derived by integrating with Parseval’s theorem, and the EDF is defined. Second, the generator energy dissipation factor (GEDF) for the dominant oscillation mode frequency is established. The modal information of the dominant oscillation in the power system is obtained through DESA. The relationship between the frequency spectral function and eigenvalues is also established. Finally, an online tracking method of local damping is proposed based on DESA and GEDF. The effectiveness of the proposed method is validated through simulations on a four-machine 11-bus power system and an actual power system in Northwest China.

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History
  • Received:February 16,2024
  • Revised:May 07,2024
  • Online: March 26,2025

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