Simulation of Reduced Rating Dynamic Voltage Restorer using SRF–ANFIS Controller

Abstract

Power Quality (PQ) and reliability in distribution system have been appealing to a greater extend in modern era and also have become an area of concern for current industrial and commercial applications. This paper examines the problem of voltage sag and swells and also deals with the improved design of Dynamic Voltage Restorer (DVR) for PQ enhancement. A novel control algorithm Synchronous Reference Frame (SRF) theory with Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is proposed for the creation of reference DVR voltages. In addition, different voltage injection schemes are analyzed to focus on novel method for the design of Reduced Rating DVR (RRDVR) to improve its performance in terms of output power, cost and size. The proposed DVR is demonstrated for PQ problems sag and swell using MATLAB/SIMULINK. During compensation, the output power attained from the proposed DVR is also compared with other intelligent controllers, namely Fuzzy Logic (FL) and ANFIS controller. Simulation results proved that the proposed SRF–ANFIS controller-based RRDVR offers economic solution for both utilities and customers by providing extremely deep compensation for voltage-based PQ problems occurring at very short duration of time.