Performance enhancement of EV energy storage system utilization and motor characteristics using effective optimization techniques

Abstract

A gradual integration of power system technologies and the newlinegreen energy generation to ensure smartness, microgrid becomes a medium newlineof energy sources for attaining effective activity of networks. Moreover, the newlineinteraction may cause some obstacles which could be carefully mitigated for newlineattaining efficient outcome. In the first stage work, a charging Electric newlineVehicle (EV) storage system with grid connection is employed for enhancing newlinethe power quality of the system. The hybrid energy sources like solar panel newline(PV system), and Battery source is utilized for EV system. The energy newlinesources PV and battery are boost converted by the DC-to-DC boost newlineconverter. Before boost conversion, PV panel is optimized by employing newlineHybrid Improved Invasive Weed optimization and Grey Wolf Optimization newline(Hybrid I2WOGWO) based Maximum Power Point Tracking (MPPT). The newlineconverted source is then fed to the EV panel and it is connected to H bridge newlinemotor drive and PMDC motor. The three-phase inverter and DC-to-DC boost newlineconverter at which Pulse Width Modulation is employed and is optimized by newlinemeans of Hybrid I2WOGWO PID controller. In this, the optimization is newlineemployed for tuning the parameters of PID controller. This motor parameters newlineare tuned by controller and once the optimized outcome and enhanced range newlineof power quality is attained, the power is stored in grid side via feeder for newlinefurther usage. At last, the performance estimation is made on evaluating the newlinesimulated outcomes in terms of PV and battery voltage and current, grid newlinepower, rise time, switching pulse, THD, and B4 bus voltage and current. The newlinecomparison of rise time performance is made which shows minimal rise time newlinerate for proposed system. newline