DocumentCode :
61224
Title :
Augmented MVDR Spectrum-Based Frequency Estimation for Unbalanced Power Systems
Author :
Yili Xia ; Mandic, Danilo P.
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Volume :
62
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
1917
Lastpage :
1926
Abstract :
A robust technique for online estimation of the fundamental frequency of both balanced and unbalanced three-phase power systems is proposed. This is achieved by extending the recently introduced iterative frequency estimation method based on minimum variance distortionless response (MVDR) spectrum , in order to enhance its robustness in unbalanced system conditions. The approach is made optimal for the second-order noncircular nature of the unbalanced complex-valued system voltage, by combining the iterative MVDR (I-MVDR) frequency estimation and the complete available (augmented) second-order statistics. Such an approach makes it possible to eliminate the otherwise unavoidable estimation bias in unbalanced system conditions. It is also shown that the proposed method approaches the theoretical Cramer-Rao lower bound (CRLB), which we rigorously derive for the vector parameter in power systems. Simulations over a range of unbalanced conditions, including voltage sags, the presence of higher-order harmonics, and for real-world unbalanced power systems, support the analysis.
Keywords :
frequency estimation; higher order statistics; iterative methods; power supply quality; power system parameter estimation; CRLB; Cramer-Rao lower bound; I-MVDR; augmented MVDR spectrum-based frequency estimation; balanced three phase power system; higher-order harmonics; iterative MVDR; iterative frequency estimation method; minimum variance distortionless response; online fundamental frequency estimation; second-order statistics; unbalanced complex valued system voltage; unbalanced power system; voltage sags; Complex noncircularity; frequency estimation; minimum variance distortionless response (MVDR) spectrum; pseudocovariance; unbalanced power systems;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2013.2253160
Filename :
6516088
Link To Document :
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