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
Hauptverfasser: Son, Kyou Jung, An, Gi Sung, Kim, Yoon Hyun, Chang, Tae-Gyu
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.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2021.3079565