A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis

► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances occurring at same time. ► The method allows the decomposition when only a single measured signal is available. ► The performance is compared with...

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Bibliographic Details
Published in:International journal of electrical power & energy systems Vol. 42; no. 1; pp. 593 - 604
Main Authors: Lima, Marcelo A.A., Cerqueira, Augusto S., Coury, Denis V., Duque, Carlos A.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.11.2012
Elsevier
Subjects:
Applied sciences
Blind Source Separation (BSS)
Channels
Decomposition
Decoupling
Disturbances
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Independent component analysis
Independent Component Analysis (ICA)
Miscellaneous
Multiple disturbance
Operation. Load control. Reliability
Power electronics, power supplies
Power networks and lines
Power quality
Preprocessing
Single-channel signal analysis
Voltage
Blind Source Separation (BSS)
Power quality
Single-channel signal analysis
Independent Component Analysis (ICA)
Multiple disturbance
Performance evaluation
Parameter estimation
Source separation
Independent component analysis
Power electronics
Discrete wavelet transforms
Blind separation
Decoupling
Electrical network
Signal processing
Filter bank
Energy quality
Signal analysis
Service quality
Comparative study
ISSN:0142-0615, 1879-3517
Online Access:Get full text
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Summary:► We propose a method to decompose a power system signal into its isolated disturbances. ► We use Independent Component Analysis to separate disturbances occurring at same time. ► The method allows the decomposition when only a single measured signal is available. ► The performance is compared with that resulting from the Discrete Wavelet Transform. In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components that can provide more specific information about the different disturbances which are occurring simultaneously during a multiple disturbance situation. The ICA is originally a multichannel technique. However, the method proposes its use to blindly separate out disturbances existing in a single measured signal (single channel). Therefore, a preprocessing step for the ICA is proposed using a filter bank. The proposed method was applied to synthetic data, simulated data, as well as actual power system signals, showing a very good performance. A comparison with the decomposition provided by the Discrete Wavelet Transform shows that the proposed method presented better decoupling for the analyzed data.
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2012.05.004