Title :
Neural net based correction of power system distortion caused by switching power supplies
Author :
Jayaraman, B. ; Ashenayi, K. ; Durham, M.O. ; Strattan, R.D.
Author_Institution :
Dept. of Electr. Eng., Tulsa Univ., OK, USA
Abstract :
The correction of these power system distortions using neural networks is presented. A multi-layer neural network is trained (using error back propagation) to correct the distorted current waves. Based on the results obtained artificial neural network seems to offer a good solution for the important problem of correcting power system harmonic distortion
Keywords :
electric distortion; feedforward neural nets; harmonics; power supply quality; power system analysis computing; distorted current waves; harmonics; multi-layer neural network; power system distortion; switching power supplies; Artificial neural networks; Costs; Harmonic distortion; Neural networks; Power harmonic filters; Power supplies; Power system analysis computing; Power system harmonics; Power systems; Solid state circuits;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213478
