Virtual multifunction power quality analyzer based on adaptive linear neural network

Cheng I. Chen

doi:10.1109/TIE.2011.2151811

Virtual multifunction power quality analyzer based on adaptive linear neural network

Cheng I. Chen

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

52 Scopus citations

Abstract

Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.

Original language	English
Pages (from-to)	3321-3329
Number of pages	9
Journal	IEEE Transactions on Industrial Electronics
Volume	59
Issue number	8
DOIs	https://doi.org/10.1109/TIE.2011.2151811
State	Published - Aug 2012

Keywords

Adaptive linear neural network (ADALINE)
flickermeter
harmonic/ interharmonic analyzer
power quality (PQ)
voltage event identifier

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10.1109/TIE.2011.2151811

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title = "Virtual multifunction power quality analyzer based on adaptive linear neural network",

abstract = "Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.",

keywords = "Adaptive linear neural network (ADALINE), flickermeter, harmonic/ interharmonic analyzer, power quality (PQ), voltage event identifier",

author = "Chen, {Cheng I.}",

note = "Funding Information: Manuscript received March 30, 2010; revised January 23, 2011 and April 3, 2011; accepted April 23, 2011. Date of publication May 5, 2011; date of current version March 30, 2012. This work was supported by the National Science Council of Taiwan under Grants NSC99-2218-E-468-002 and NSC99-2632-B-468-001-MY3.",

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N2 - Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.

AB - Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.

KW - Adaptive linear neural network (ADALINE)

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KW - harmonic/ interharmonic analyzer

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KW - voltage event identifier

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Virtual multifunction power quality analyzer based on adaptive linear neural network

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Keywords

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