Dynamic voltage restorer based on particle swarm optimization algorithm and adaptive neuro-fuzzy inference system

This article uses a dynamic voltage restorer to tackle wide range of power quality issues, such as drooping and swelling, spikes, distortions, so on. The proportional controller, integrated controller (PI), adaptive neuro-fuzzy inference system (ANFIS) are proposed (DVR) controllers. control strategy's goal is employ an injection transformer mitigate for the needed keep load fixed. settings PI fine-tuned using two methods: trial error intelligent optimum. Particle swarm optimization (PSO) now most effective method. In terms settling time, overshoot, undershoot, disturbances around final value, PSO-tuned outperforms trial-and-error controller. ANFIS used regulate DVR's responsiveness through PI-PSO data training by results show that DVR with in undershoot spike voltage, steady state time. case failure has 27% while 30% voltage.