一种自适应残差驱动的无网格电力谐波检测方法
By employing an adaptive residual-driven meshless power harmonic detection method, which utilizes continuous frequency domain Newton approximation and residual-driven filtering, the problems of mesh mismatch and noise amplification in power harmonic detection are solved, achieving high-precision and robust harmonic parameter estimation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN NORMAL UNIVERSITY
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing power harmonic detection technologies face problems such as grid mismatch, matrix ill-conditioning, and noise amplification at low sampling rates, making it difficult to achieve high-precision and robust harmonic parameter estimation.
An adaptive residual-driven meshless power harmonic detection method is adopted. By deeply fusing continuous frequency domain Newton approximation and residual-driven post-filtering, an enhanced joint continuous sensing matrix is constructed. The least squares method is used for decoupling solution and damped Gauss-Newton update rule to dynamically adjust the observation noise covariance matrix, thereby achieving high-precision measurement of frequency, amplitude and phase.
In environments with extremely low compression ratios and strong electromagnetic interference, high-precision and robust measurements of harmonic and interharmonic parameters were achieved, eliminating the effects of mesh mismatch and noise amplification, and improving detection accuracy and noise immunity.
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Figure CN122410189A_ABST