Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems
This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-...
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Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-5 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-MVDR algorithm is caused by the omitted terms in computing the augmented covariance matrix which is suggested to compensate the unbalance effect. In this article, a new frequency estimator is analytically derived considering the effect of the omitted terms by replacing a fixed nominal frequency parameter with a variable frequency parameter in obtaining the augmented covariance matrix. The performance of the derived equation is also verified through computer simulations. |
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ISSN: | 0018-9456 1557-9662 |
DOI: | 10.1109/TIM.2021.3079565 |