Power measurement based on VSLMS improved adaptive filters

doi:10.3969/j.issn.0253-2778.2015.10.008

Journal of University of Science and Technology of China ›› 2015, Vol. 45 ›› Issue (10): 855-863.DOI: 10.3969/j.issn.0253-2778.2015.10.008

• Original Paper • Previous Articles

Power measurement based on VSLMS improved adaptive filters

QIAN Qi, KANG Yu,*, ZHAO YunBo

1. Department of Automation, University of Science and Technology of China, Hefei 230027, China; 2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China; 3. Department of Automation, Zhejiang University of Technology, Hangzhou 310014, China

Received:2015-03-06 Revised:2015-04-16 Accepted:2015-04-16 Online:2015-04-16 Published:2015-04-16
Contact: Kang Yu
About author:QIAN QI, male, born in 1989.Research field: Control theory.E-mail:qqianl@mail.ustc.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China( 61422307, 61304048 and 61174061), the Scientific Research Staring Foundation for the Returned Overseas Chinese Scholars of Ministry of Education of China and the National High-tech R&D Program of China (863)(2014AA06A503). the Youth Innovation Promotion Association,Chinese Academy of Sciences and National Youth Top Talent Support of National High-Level Personnel of Special Support Program.

Abstract

Abstract: A new algorithm is proposed to detect and extract in real-time signals with fundamental and harmonic wave components in the power grid, which is applicable to power measurement. The proposed method is based on the concept of adaptive filter, and adaptively decomposes the measured power signal into its constituting components, resulting in a fast convergence rate. The fundamental and harmonic wave components in the power grid can be decomposed into a series of sinusoidal signals. The frequency of the power grid is measured by energy operator. A model of voltage and current wave in the power grid is constructed, a new step-size LMS algorithm for improving the adaptive filter is proposed and the stability of the proposed method is discussed. The effectiveness of the proposed method is demonstrated by simulation examples.

Key words: Adaptive filter, Power measurement, Fundamental and harmonic wave

CLC Number:

TP18

QIAN Qi, KANG Yu,*, ZHAO YunBo. Power measurement based on VSLMS improved adaptive filters[J]. Journal of University of Science and Technology of China, 2015, 45(10): 855-863.

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Power measurement based on VSLMS improved adaptive filters

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