Neuro fuzzy based interline dynamic voltage restorer for multiline power system

Abstract

Power quality is one of the major problems in the present era. It has gained its importance because of the introduction of the sophisticated devices, whose performance is very sensitive to quality of power supply. Power quality problem is an occurrence manifested as a nonstandard voltage, current or frequency that results in a failure of end user equipment. One of the major problem dealt here is the voltage sag of the multiline power system. The aim of this paper is to design an Interline Dynamic Voltage Restorer which is able to compensate voltage sag and voltage regulation at critical load terminals. In our project, the Interline Dynamic Voltage Restorer (IDVR) has two IDVRs are connected to a common DC Link with Adaptive Neuro-Fuzzy Inference System (ANFIS). One of the IDVRs compensates for a voltage sag, the other IDVRs connected to common DC-Link energy storage. A current mode control strategy is incorporated into the IDVR system in both the working modes, voltage sag compensation and power flow control. The reference voltage for power flow control mode is derived from instantaneous active current calculated using DC-Link voltage error signal.