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An adaptive two-factor robust recursive least squares based online assessment method for power system inertia
ID：52 View Protection：ATTENDEE Updated Time：2025-10-11 22:34:51 Hits：211 Poster Presentation

Start Time：2025-11-09 09:04（Asia/Shanghai）

Duration：1min

Session：P Poster presentation » P11.Renewable energy system

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Abstract
Under virtual inertia control, the output of wind farms presents fast time-varying characteristics, resulting in dynamic changes in power system inertia, and quantitative assessment of inertia becomes more difficult. Aiming at the difficulty of existing methods to stabilize and quickly assess its equivalent time-varying inertia, this paper proposes a power system inertia estimation method based on the virtual inertia control of wind power. First, the theoretical expression for the system equivalent inertia when containing wind power virtual inertia is derived; using the node power and frequency data measured by PMU, combined with the detrended fluctuation analysis (DFA), the moment of large perturbation is determined and the observation data are extracted. Subsequently, the controlled autoregressive (CAR) model and adaptive two-factor robust recursive least squares (ADF-RLS) algorithm are adopted to realize the estimation of the equivalent inertia of the whole network. The simulation results verify the accuracy and robustness of the method in recognizing the time-varying characteristics of inertia in new energy systems.
Keywords
Virtual inertia control, wind farm time-varying inertia, power system equivalent inertia, detrended fluctuation analysis (DFA), adaptive two-factor robust recursive least squares (ADF-RLS)
Speaker
Bo Hu
student 华中科技大学

Submission Author
Bo Hu 华中科技大学
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Important Date

  • Conference Date

    Nov 07

    2025

    to

    Nov 09

    2025

  • Oct 30 2025

    Draft paper submission deadline

  • Nov 10 2025

    Registration deadline

Sponsored By
IEEE西南交通大学IAS学生分会
Organized By
西南交通大学电气工程学院
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
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