An Intelligent ANFIS Controller based PV Custom Device to enhance Power Quality

Abstract

The trend setting indicated paper in intelligent adaptive-neuro fuzzy interface system (ANFIS) controller-based photovoltaic (PV) system device to solve power quality (PQ) issues are presented. Optimal power electronic converters (PEC) are employed to get controlled balanced load voltage/current. The presence of nonlinear loads and sudden addition and removal of sensitive loads on distribution will always create harmonics in the network. It will cause to produce dip in voltage (sag) or rise in voltage (swell) means severe oscillation in load voltage. These PQ issues are suppressed to a large extent by employing solar custom devices with optimal cost over FACTS controllers, which are available in the literature. To get maximum output power from PV system, fuzzy MPPT technique is adopted. The best soft switching of series voltage source converter (SeVSC) is done by employing the proposed method. The results obtained are compared with other well-known conventional control techniques such as PI controller, fuzzy-based proportional integral (PI) controller, robust ECKF (RECKF) and proves that the proposed control strategy works very well.