报告详情
An adaptive two-factor robust recursive least squares based online assessment method for power system inertia
编号：52
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更新：2025-10-11 22:34:51 浏览：2次
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摘要
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.
关键词
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)
报告人
Bo Hu
student 华中科技大学稿件作者
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重要日期
-
会议日期
11月07日
2025
至11月09日
2025
-
10月12日 2025
初稿截稿日期
-
10月20日 2025
注册截止日期
主办单位
IEEE西南交通大学IAS学生分会
承办单位
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
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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