%0 Conference Paper
%B 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
%D 2018
%T Performance Enhancement of a Series Active Power Filter using Kalman Filter based Neural Network Control Strategy
%A A. Ravikumar
%A N. Mohan
%A Dr. Soman K. P.
%K Active filters
%K Active power filter (APF)
%K Biological neural networks
%K Harmonic analysis
%K harmonic distortion
%K harmonics
%K Kalman filter
%K Kalman filters
%K MATLAB-Simulink environment
%K neural network
%K neural network control strategy
%K neurocontrollers
%K nonlinear load circuit
%K phase series active power filter
%K phase total harmonic distortion
%K power conversion harmonics
%K power electronic converters
%K Power electronics
%K Power harmonic filters
%K power supply quality
%K Power system
%K Reactive power
%K total harmonic distortion
%K Total harmonic distortion (THD)
%K Variable frequency drive (VFD)
%X Increased use of power electronic converters at various stages of power system is the main cause of harmonics and reactive power. Presence of harmonics adds pollution to the power system or degrades the quality of power. A series active power filter is used to reduce the harmonics and also compensate reactive power. This paper explores the use of a Kalman filter based neural network controller for enhancing the operation of a three phase series active power filter which is connected at the input of a non-linear load. The entire experiment has been conducted in MATLAB/Simulink environment. It is observed that there is substantial reduction in harmonics with this proposed control scheme. The three phase total harmonic distortion in the non-linear load circuit has been reduced from 33.63% to 2.61%.
%B 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
%8 Sep.
%G eng
%R 10.1109/ICACCI.2018.8554889