FPGA Realization of Wavelet Transform for Detection of Electric Power System Disturbances

2002 ◽  
Vol 22 (2) ◽  
pp. 64-64 ◽  
Author(s):  
S. J. Huang ◽  
T. M. Yang ◽  
J. T. Huang
Keyword(s):  
Wavelet Transform ◽  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
Power System Disturbances

Use of Wavelet Transform and Generalized Regression Neural Network (GRNN) to the Characterization of Short-Duration Voltage Variation in Electric Power System.

2009 ◽  
Vol 7 (2) ◽  
pp. 217-222 ◽  
Author(s):  
Raimundo Nonato das Merces Machado ◽  
Ubiratan Holanda Bezerra ◽  
Evaldo Goncalves Pelaes ◽  
Roberto Celio Limao de Oliveira ◽  
Maria Emilia de Lima Tostes
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Power System ◽  
Electric Power ◽  
Short Duration ◽  
Electric Power System ◽  
Generalized Regression Neural Network ◽  
Voltage Variation ◽  
Generalized Regression

Power System Fault Diagnosis Based on Wavelet Transform and Neural Networks

2014 ◽  
Vol 705 ◽  
pp. 255-258 ◽  
Author(s):  
Jun Liu ◽  
Lin Li ◽  
Qing Tao Long
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Wavelet Transform ◽  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
Singularity Detection ◽  
Fault Recognition ◽  
The Neural Network ◽  
Simulation Results

Using the principle of wavelet transform in the aspect of signal singularity detection analyzes and detects the electric power system fault signal. Then we extract signal feature near the fault moment and sent the feature vectors into the neural network. The simulation results fully prove the effectiveness and superiority of combining wavelet transform and neural network in electric power system fault recognition.

Expectation for Smart Inverter & DERMS for Electric Power System Task

2018 ◽  
Vol 138 (6) ◽  
pp. 412-415 ◽  
Author(s):  
Ryo Maeda ◽  
Takeshi Fukuoka ◽  
Yasutoshi Yoshioka ◽  
Atsushi Harada
Keyword(s):  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
System Task
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