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The power quality problems during distribution of power are mainly occurs due to transient distortions in the line voltage like harmonics, flicker, sags and swells. These power quality issues can cause damage of equipment, losses in power transfer or even can lead system towards instability. To alleviate these complications, ANFIS based UPQC is to be proposed. The object of this work is to develop the power quality all over and done with a new unified grid-connected inverter-based distributed power system by using ANFIS-UPQC. In this paper ANFIS based UPQC (ANFIS-UPQC) is being used as a Facts controller to mitigate together current & voltage distortions at the consumer end of Distribution system. The concert of ANFIS-UPQC has very precise dynamic response by means of a very simple design of control circuit. This paper shows validation of ANFIS based UPQC and Results are compared with UPQC by means of hysteresis control Band by means of PI controller and improvements are observed. The ANFIS-UPQC reduces the harmonics at highly accepted level compared to PI Controller based UPQC. The simulation results, carried away by MATLAB/Simulink, shows that ANFIS-UPQC has a less THD and the output voltage/Current profiles are improved compared to PID Controller based UPQC.

Adaptive Neuro-Fuzzy Based UPQC in A Distributed Power System for Enhancement of Power Quality