Limits...
Multiple chaos synchronization system for power quality classification in a power system.

Huang CH, Lin CH - ScientificWorldJournal (2014)

Bottom Line: The maximum likelihood method (MLM), as a classifier, performs a comparison of the patterns of the features in the database.The proposed method can adapt itself without the need for adjustment of parameters or iterative computation.For a sample power system, the test results showed accurate discrimination, good robustness, and faster processing time for the detection of PQ disturbances.

View Article: PubMed Central - PubMed

Affiliation: Department of Automation and Control Engineering, Far-East University, Hsin-Shih, Tainan 744, Taiwan.

ABSTRACT
This document proposes multiple chaos synchronization (CS) systems for power quality (PQ) disturbances classification in a power system. Chen-Lee based CS systems use multiple detectors to track the dynamic errors between the normal signal and the disturbance signal, including power harmonics, voltage fluctuation phenomena, and voltage interruptions. Multiple detectors are used to monitor the dynamic errors between the master system and the slave system and are used to construct the feature patterns from time-domain signals. The maximum likelihood method (MLM), as a classifier, performs a comparison of the patterns of the features in the database. The proposed method can adapt itself without the need for adjustment of parameters or iterative computation. For a sample power system, the test results showed accurate discrimination, good robustness, and faster processing time for the detection of PQ disturbances.

No MeSH data available.


Related in: MedlinePlus

The nonlinear electronic circuits of Chen-Lee based CS system.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3934410&req=5

fig2: The nonlinear electronic circuits of Chen-Lee based CS system.

Mentions: A dynamic-error system (4) can be expressed using the integrators and four-fundamental arithmetical operations, including adders, subtractors, and multipliers. We use the dynamic-error equations to implement the CS system, using nonlinear electronic circuits [21, 24], as shown in Figure 2. Using the analog electronic analysis, it can simulate the chaotic Chen-Lee system as an electronic oscillator circuit. The nonlinear circuit uses operational amplifiers (OPAs), resistors, and capacitors. The system parameters (amplifier gains) can be adjusted by(11)de1dt=R7R5e1−e2e3,(12)de2dt=e1e3−R17R15e2,(13)de3dt=R27R26e1e2+R24R23e3,(14)a=R7R5=2,  /b/=R17R15=3,  /c/=R24R23=2,(15)R6=R7, R16=R17, R27R26=13.


Multiple chaos synchronization system for power quality classification in a power system.

Huang CH, Lin CH - ScientificWorldJournal (2014)

The nonlinear electronic circuits of Chen-Lee based CS system.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3934410&req=5

fig2: The nonlinear electronic circuits of Chen-Lee based CS system.
Mentions: A dynamic-error system (4) can be expressed using the integrators and four-fundamental arithmetical operations, including adders, subtractors, and multipliers. We use the dynamic-error equations to implement the CS system, using nonlinear electronic circuits [21, 24], as shown in Figure 2. Using the analog electronic analysis, it can simulate the chaotic Chen-Lee system as an electronic oscillator circuit. The nonlinear circuit uses operational amplifiers (OPAs), resistors, and capacitors. The system parameters (amplifier gains) can be adjusted by(11)de1dt=R7R5e1−e2e3,(12)de2dt=e1e3−R17R15e2,(13)de3dt=R27R26e1e2+R24R23e3,(14)a=R7R5=2,  /b/=R17R15=3,  /c/=R24R23=2,(15)R6=R7, R16=R17, R27R26=13.

Bottom Line: The maximum likelihood method (MLM), as a classifier, performs a comparison of the patterns of the features in the database.The proposed method can adapt itself without the need for adjustment of parameters or iterative computation.For a sample power system, the test results showed accurate discrimination, good robustness, and faster processing time for the detection of PQ disturbances.

View Article: PubMed Central - PubMed

Affiliation: Department of Automation and Control Engineering, Far-East University, Hsin-Shih, Tainan 744, Taiwan.

ABSTRACT
This document proposes multiple chaos synchronization (CS) systems for power quality (PQ) disturbances classification in a power system. Chen-Lee based CS systems use multiple detectors to track the dynamic errors between the normal signal and the disturbance signal, including power harmonics, voltage fluctuation phenomena, and voltage interruptions. Multiple detectors are used to monitor the dynamic errors between the master system and the slave system and are used to construct the feature patterns from time-domain signals. The maximum likelihood method (MLM), as a classifier, performs a comparison of the patterns of the features in the database. The proposed method can adapt itself without the need for adjustment of parameters or iterative computation. For a sample power system, the test results showed accurate discrimination, good robustness, and faster processing time for the detection of PQ disturbances.

No MeSH data available.


Related in: MedlinePlus