Title :
An adaptive detecting approach of harmonic currents for active power filter
Author :
Qun, Wang ; Ning, Wu ; Zejia, Jiang
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
Abstract :
There have been a number of harmonic currents detecting methods for active power filters, including the filtration approach by fixed frequency filters and the decomposition approach of active and reactive power components based on the instantaneous reactive power theory, and so on. In this paper, according to the adaptive noise canceling technology in signal processing and the distinguishing feature of neurons, an adaptive detecting approach of harmonic currents based on neurons is presented. The simulation results illustrate that the performance of the proposed approach is satisfactory
Keywords :
active filters; filtering theory; harmonic distortion; learning (artificial intelligence); neural nets; power harmonic filters; power system analysis computing; power system harmonics; active power filter; adaptive detecting approach; adaptive noise canceling technology; filtering performance; harmonic currents; neurons; power systems; signal processing; simulation results; Active filters; Adaptive signal processing; Filtering theory; Filtration; Frequency; Neurons; Noise cancellation; Power harmonic filters; Power system harmonics; Reactive power;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729343