Mitigation of Power Quality Problems of Grid Connected System with UPQC using Adaptive Neuro Fuzzy Inference System (ANFIS)

Dr. R. Muthukumar | K. V. Gazal

Abstract: Mitigation of a three-phase three wire Unified Power Quality Conditioner (UPQC) controlled with Adaptive Neuro Fuzzy Inference System (ANFIS) based controller is presented in this project. UPQC is a custom power device which is integrated by series and shunt active power filters (APF) sharing a common dc bus capacitor. The shunt and series APFs are realized with the help of three phase, three leg voltage source converters that are sharing a common DC capacitor. The fundamental voltages, currents are extracted by modified synchronous reference frame technique, switching pulses for both the filters are generated by conventional hysteresis based controller. The capacitance voltage is balanced by ANFIS based controller. Performance of the ANFIS based control algorithm of shunt active filter with series active filter is evaluated in terms of eliminating the power quality problems in a three phase, three-wire distribution system with non-linear and unbalanced load conditions. Adaptive Neuro Fuzzy logic control is used for dc capacitance balancing. System taken for test and the control algorithm are implemented with the help of Sim power systems and ANFIS editor of MATLAB / SIMULINK.

Keywords: ANFIS, APF, Non Linear Load, UPQC

Edition: Volume 6 Issue 5, May 2017,

Pages: 248 - 254