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In this research article IT2FLS used for classification of multiple power quality disturbances.
This paper proposes a method based on single channel independent component analysis for single and multiple power quality disturbance classification.
This study presents an approach for single and multiple power quality disturbance detection and classification using multidimensional analysis, higher-order statistics and a neuro-tree based classifier.
The simulation results signify that the proposed scheme has a higher recognition rate while classifying single and multiple power quality events unlike other methods.
Moreover, the proposed method radically eliminates the coupling effect between UPQC series unit and shunt unit, and realizes the multiple power quality coordinated control functions of UPQC.
As a multiple power quality conditioner, UPQC gathers the functions of voltage quality compensator, current quality compensator and energy storage device in the integrated manner, meeting the needs of comprehensive power quality control for the Microgrid.
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The fact that a microgrid is fed from multiple elements provides higher power quality and reliability, but also makes it more difficult to isolate part of the system in case of faults.
Nowadays, the electronic converter which connects the photovoltaic array (PV) with the utility grid is subject to multiple requirements in terms of energy efficiency, power quality and grid stability.
Two new credibility indexes, the monitoring-credibility and the partial-credibility, are defined to measure the reliability of direction-judgment result at each power quality monitor (PQM) with consideration of multiple factors, including DG integration, disturbance intensity and fluctuation characteristic.
The rules designed for classification of multiple events such as sag plus harmonics and swell plus harmonics show in Table 1, if SD is moderate and PSE is high then multiple events sag plus harmonics occur as disturbance in power quality.
In this architecture, distributed ESSs (DESSs) in MGs and mass ESSs (MESSs) in ADSs perform multiple important roles, such as network upgrade deferral, frequency-voltage control, power quality and reliability improvement, and alleviating the fluctuation of REGs [7, 8].
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