Abstract:
Nowadays, power quality has become an important concern in industrial distribution power
system operation due to the presence of increased power electronic converters with nonlinear
loads and linear loads. The nature of nonlinear loads generates harmonics in the current
waveforms whereas the linear loads also causing lagging power factor.
The harmonic current and low power factor problems exist in the industry results from the
nonlinear and inductive linear loads, which need critical care for their compensation in the
ONTEX Ethiopia PLC factory. The proposed hybrid power filter is composed of a shunt active
power filter and a shunt passive power filter. The hybrid power filter is connected in parallel
with the power line and is used to mitigate the current harmonics and compensate reactive
power to improve power factor. The artificial neural network and PI current controller are
applied to control the shunt active power filter and SPWM to generate switching signals to turn
ON and OFF the IGBT as fast as possible. The ANN current controller is trained, tested, and
validated using the Levenberg Marquardt backpropagation algorithm to control the current of
the voltage source converter.
The MATLAB Simulink has been used to demonstrate the overall system for harmonic
mitigation, reactive power and power factor correction. The result of simulation shows that the
total harmonic distortion (THD) current reduced from 27.51% to 4.39% using hybrid power
filter based PI current controller and from 27.51% to 2.98% using hybrid power filter based
ANN current controller. The application of ANN based current controller improved the power
factor from 0.72 to 0.964. In addition, the application of DC link voltage regulation
significantly enhanced the overall power quality
