This paper presents a technique for detection and classification of short duration voltage variat... more This paper presents a technique for detection and classification of short duration voltage variations including voltage sag, swell and interruption. The detection technique is based on envelope construction using Hilbert transform and classification using artificial neural network. The performance of the classifier is examined over several cases of synthetic voltage variation disturbances. Moreover, the performance of the classifier is tested on a simple distribution system subjected to a single-line-ground fault. The beginning and ending of the disturbance are also estimated. The simulation results show the robust capability of the proposed technique to accurately and rapidly classify voltage variation events.
This paper presents a technique based on the multiple signal classification (MUSIC) technique com... more This paper presents a technique based on the multiple signal classification (MUSIC) technique combined with the dynamic voltage restorer (DVR) scheme for voltage flicker estimation and mitigation. Different cases of voltage flicker distortion are investigated including low and high frequency bands. In the first phase, the MUSIC algorithm is applied for voltage flicker estimation, where the spectral components of the voltage signal are calculated by constructing the voltage flicker signal as a linear combination of sinusoids of different frequencies. Next, Hilbert transform (HT) is used to obtain the voltage envelope of the signal using the estimated spectral components of the voltage flicker waveform. Then, the voltage envelope is used to detect the level of voltage flicker. In the second phase, voltage flicker mitigation using the dynamic voltage restorer (DVR) scheme is employed by injecting the appropriate voltage signal to reduce unacceptable voltage fluctuations at the load side. The performance and effectiveness of the proposed method have been examined using MATLAB/SIMULINK simulation.
This paper presents a technique for detection and classification of short duration voltage variat... more This paper presents a technique for detection and classification of short duration voltage variations including voltage sag, swell and interruption. The detection technique is based on envelope construction using Hilbert transform and classification using artificial neural network. The performance of the classifier is examined over several cases of synthetic voltage variation disturbances. Moreover, the performance of the classifier is tested on simple distribution system subjected to single-line-ground fault. The beginning and ending of the disturbance is also estimated. The simulation results show the robust capability of the proposed technique to accurately and rapidly classify the voltage variation events.
This paper presents a technique based on the multiple signal classification (MUSIC) technique com... more This paper presents a technique based on the multiple signal classification (MUSIC) technique combined with the dynamic voltage restorer (DVR) scheme for voltage flicker estimation and mitigation. Different cases of voltage flicker distortion are investigated including low and high frequency bands. In the first phase, the MUSIC algorithm is applied for voltage flicker estimation, where the spectral components of the voltage signal are calculated by constructing the voltage flicker signal as a linear combination of sinusoids of different frequencies. Next, Hilbert transform (HT) is used to obtain the voltage envelope of the signal using the estimated spectral components of the voltage flicker waveform. Then the voltage envelope is used to detect the level of voltage flicker. In the second phase, voltage flicker mitigation using the dynamic voltage restorer (DVR) scheme is employed by injecting the appropriate voltage signal to reduce unacceptable voltage fluctuations at the load side. The performance and effectiveness of the proposed method has been examined using MATLAB/SIMULINK simulation.
... Under these conditions, the circuit of Fig. ... (8) is the source frequency and the terms are... more ... Under these conditions, the circuit of Fig. ... (8) is the source frequency and the terms are derived through fourier analysis for continuous conduction of the diode bridge. ... In this work the dc side and ac side current distortion was investigated using the converter topology of Fig. ...
The dynamic performance and control of a doubly fed generator is investigated. It is shown experi... more The dynamic performance and control of a doubly fed generator is investigated. It is shown experimentally that a reactive current regulator can be used to control the machine excitation level. The study initially assumes an externally controlled field frequency, so that the machine is in the controlled speed mode. Linearized analysis is used to show that larger generators may be
This paper presents a technique for detection and classification of short duration voltage variat... more This paper presents a technique for detection and classification of short duration voltage variations including voltage sag, swell and interruption. The detection technique is based on envelope construction using Hilbert transform and classification using artificial neural network. The performance of the classifier is examined over several cases of synthetic voltage variation disturbances. Moreover, the performance of the classifier is tested on a simple distribution system subjected to a single-line-ground fault. The beginning and ending of the disturbance are also estimated. The simulation results show the robust capability of the proposed technique to accurately and rapidly classify voltage variation events.
This paper presents a technique based on the multiple signal classification (MUSIC) technique com... more This paper presents a technique based on the multiple signal classification (MUSIC) technique combined with the dynamic voltage restorer (DVR) scheme for voltage flicker estimation and mitigation. Different cases of voltage flicker distortion are investigated including low and high frequency bands. In the first phase, the MUSIC algorithm is applied for voltage flicker estimation, where the spectral components of the voltage signal are calculated by constructing the voltage flicker signal as a linear combination of sinusoids of different frequencies. Next, Hilbert transform (HT) is used to obtain the voltage envelope of the signal using the estimated spectral components of the voltage flicker waveform. Then, the voltage envelope is used to detect the level of voltage flicker. In the second phase, voltage flicker mitigation using the dynamic voltage restorer (DVR) scheme is employed by injecting the appropriate voltage signal to reduce unacceptable voltage fluctuations at the load side. The performance and effectiveness of the proposed method have been examined using MATLAB/SIMULINK simulation.
This paper presents a technique for detection and classification of short duration voltage variat... more This paper presents a technique for detection and classification of short duration voltage variations including voltage sag, swell and interruption. The detection technique is based on envelope construction using Hilbert transform and classification using artificial neural network. The performance of the classifier is examined over several cases of synthetic voltage variation disturbances. Moreover, the performance of the classifier is tested on simple distribution system subjected to single-line-ground fault. The beginning and ending of the disturbance is also estimated. The simulation results show the robust capability of the proposed technique to accurately and rapidly classify the voltage variation events.
This paper presents a technique based on the multiple signal classification (MUSIC) technique com... more This paper presents a technique based on the multiple signal classification (MUSIC) technique combined with the dynamic voltage restorer (DVR) scheme for voltage flicker estimation and mitigation. Different cases of voltage flicker distortion are investigated including low and high frequency bands. In the first phase, the MUSIC algorithm is applied for voltage flicker estimation, where the spectral components of the voltage signal are calculated by constructing the voltage flicker signal as a linear combination of sinusoids of different frequencies. Next, Hilbert transform (HT) is used to obtain the voltage envelope of the signal using the estimated spectral components of the voltage flicker waveform. Then the voltage envelope is used to detect the level of voltage flicker. In the second phase, voltage flicker mitigation using the dynamic voltage restorer (DVR) scheme is employed by injecting the appropriate voltage signal to reduce unacceptable voltage fluctuations at the load side. The performance and effectiveness of the proposed method has been examined using MATLAB/SIMULINK simulation.
... Under these conditions, the circuit of Fig. ... (8) is the source frequency and the terms are... more ... Under these conditions, the circuit of Fig. ... (8) is the source frequency and the terms are derived through fourier analysis for continuous conduction of the diode bridge. ... In this work the dc side and ac side current distortion was investigated using the converter topology of Fig. ...
The dynamic performance and control of a doubly fed generator is investigated. It is shown experi... more The dynamic performance and control of a doubly fed generator is investigated. It is shown experimentally that a reactive current regulator can be used to control the machine excitation level. The study initially assumes an externally controlled field frequency, so that the machine is in the controlled speed mode. Linearized analysis is used to show that larger generators may be
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Papers by Mohammed Bashir Rifai