Variational mode decomposition and decision tree based detection and classification of power quality disturbances in grid-connected distributed generation system
PD Achlerkar, SR Samantaray… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a variational mode decomposition (VMD) and decision tree based
detection and classification method of single and mixed power quality (PQ) disturbances in …
detection and classification method of single and mixed power quality (PQ) disturbances in …
Model predictive current control of grid-connected neutral-point-clamped converters to meet low-voltage ride-through requirements
The low-voltage ride through (LVRT) requirement demands the wind power plants to remain
connected to the grid in the presence of grid voltage dips, actively helping the network …
connected to the grid in the presence of grid voltage dips, actively helping the network …
Phase loss detection using voltage signals and motor models: A review
This paper considers open phase faults in the system grid-converter-motor drive and
preventive measures against them. The paper analyses negative aftereffects of the single …
preventive measures against them. The paper analyses negative aftereffects of the single …
Predictive control of a back-to-back NPC converter-based wind power system
As wind power technology points to increase power ratings, the implementation based on a
permanent-magnet synchronous generator (PMSG) with a full-power converter is expanding …
permanent-magnet synchronous generator (PMSG) with a full-power converter is expanding …
Novel way for classification and type detection of voltage sag
This study presents a new classification of voltage sags which is based on its types,
characteristic voltage and zero‐sequence component of voltage. It is extremely difficult to …
characteristic voltage and zero‐sequence component of voltage. It is extremely difficult to …
Performance comparison of advanced techniques for voltage dip detection
A Moschitta, P Carbone… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Different aspects have to be considered when dealing with voltage dips in electric power
systems. As a consequence, according to different needs arising from specific applications …
systems. As a consequence, according to different needs arising from specific applications …
A novel way to quantify the magnitude of voltage sag
The magnitude of the voltage sag is accepted as one of the most important parameters for its
characterization, classification, and the detection. Hence, the selection of most suitable …
characterization, classification, and the detection. Hence, the selection of most suitable …
Wavelet based signal processing technique for classification of power quality disturbances
M Tuljapurkar, AA Dharme - 2014 Fifth International …, 2014 - ieeexplore.ieee.org
This paper presents an effective method for classification of power quality disturbances,
employing wavelet transformation for disturbance identification and Modular artificial Neural …
employing wavelet transformation for disturbance identification and Modular artificial Neural …
Generalized likelihood ratio test for voltage dip detection
A Moschitta, P Carbone… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
An alternative detection algorithm, based on the generalized likelihood ratio test (GLRT), is
proposed for the detection of voltage dips in power systems. The proposed method is …
proposed for the detection of voltage dips in power systems. The proposed method is …
Detecting voltage swell, interruption and sag
VA Skolota, GS Zinovev - 2018 19th International Conference …, 2018 - ieeexplore.ieee.org
Quality control of electrical energy and timely detection of interference and distortion of
supply voltage is a very important task. This is necessary both to find the source of distortion …
supply voltage is a very important task. This is necessary both to find the source of distortion …