Comparison of PI Fuzzy and Neurofuzzy Controller for Shunt Active Power Filter for Enhancement of Power Quality
نویسنده
چکیده
The Shunt Active Power Filter (SAPF) is one of the key controllers in Flexible Alternating Current Transmission System (FACTS) to control the transmission line voltage and can be used in Power System (PS) to enhance the power quality. This paper compares performance of Cascaded Five-Level Inverter (CFLI) based SAPF in PS with PI, Fuzzy and Neurofuzzy controller. Making use of the CFLI has benefits of low harmonics distortion, reduced number of switches and switching losses. In order to compensate the reactive power, balance the capacitor DC voltage and suppress the total harmonics distortion (THD) drawn from a Non-Linear Diode Rectifier Load (NLDRL) of SAPF, Sub-Harmonics Pulse Width Modulation (SHPWM) technique, and D-Q reference frame theory are proposed in this paper. The SHPWM pattern generation is used as control for the switches of CFLI. The D-Q reference frame theory is used to calculate the reference compensating currents for SAPF. PI controller fuzzy and neurofuzzy controller are used for capacitors dc voltage regulation for SAPF. The results are verified and validated through MatLab/Simulink simulation software with SAPF and without SAPF.
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