학술논문

Application of neural networks for the control strategy for series active power filters
Document Type
Conference
Source
10th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.02EX630) Harmonics and quality of power Harmonics and Quality of Power, 2002. 10th International Conference on. 2:519-523 vol.2 2002
Subject
Power, Energy and Industry Applications
Neural networks
Active filters
Voltage
Power harmonic filters
Harmonic distortion
Multi-layer neural network
Power quality
Power generation
Power system harmonics
Power filters
Language
Abstract
This paper presents a methodology for the determination of a control reference in an active power filter using multilayer neural networks. The method requires one cycle of distorted voltage waves generated by an usual nonlinear load. One of the major problems in the industry plants is related to the voltage harmonic distortion. The control strategy based on neural networks will be compared to the classical SRF (synchronous reference frame) control algorithm. The validity of such method is proved based upon simulation results and through implementation.