Improved “Augmented MVDR Spectrum-Based Frequency Estimation Algorithm” for Unbalanced Power Systems.
In: IEEE Transactions on Instrumentation & Measurement, Jg. 70 (2021-07-01), S. 1-5
Online
academicJournal
Zugriff:
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. [ABSTRACT FROM AUTHOR]
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Titel: |
Improved “Augmented MVDR Spectrum-Based Frequency Estimation Algorithm” for Unbalanced Power Systems.
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Autor/in / Beteiligte Person: | Son, Kyou Jung ; An, Gi Sung ; Kim, Yoon Hyun ; Chang, Tae-Gyu |
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Zeitschrift: | IEEE Transactions on Instrumentation & Measurement, Jg. 70 (2021-07-01), S. 1-5 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0018-9456 (print) |
DOI: | 10.1109/TIM.2021.3079565 |
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