Title :
Harmonic voltage suppression by active filter with neural network controller
Author :
Kawagoshi, T. ; Kumamoto, A. ; Hikihara, T. ; Hirane, Y. ; Oku, K. ; Nakamura, O. ; Tada, S. ; Mizuki, K. ; Inoue, Y.
Author_Institution :
Kansai Univ., Japan
Abstract :
The increase of power devices adopted in built-in power supplies is accompanied with an increase of many distributed harmonic generating loads and the harmonic problem in 6.6 kV power distribution lines is becoming prominent. To cope with harmonics, either conventional LC filters or active filters are used as additional compensators near the harmonic generating load. However such devices are not optimal when adopted as compensators in the power distribution system. The authors describe a neural network controlled active filter to realize both stable and adequate compensation for parameter variation due to impedance change or load variation and then discuss a computer simulation followed by the results obtained using a small scale laboratory model.
Keywords :
active filters; compensation; digital simulation; distribution networks; neural nets; power engineering computing; power system harmonics; active filter; compensation; computer simulation; distributed harmonic generating loads; harmonic voltage suppression; impedance change; load variation; neural network controller; parameter variation; power distribution lines; Active filters; Distributed power generation; Neural networks; Power distribution; Power distribution lines; Power generation; Power harmonic filters; Power supplies; Power system harmonics; Voltage control;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264343