Power Quality Signal Conditioning and Mitigation by Using LMSEXF-Based Control Strategy for Grid-Tied PV Assisted EV Charging Station
Dulichand Jaraniya, Shailendra Kumar
Abstract
Integration of solar photovoltaic (SPV) and electric vehicles (EVs) charging loads is one of the challenging tasks. This is because EVs place an additional burden on the grid, which may cause various issues such as power quality, power management and synchronization etc. Therefore, it requires advanced and intelligent control schemes to compensate these issues. Additionally, SPV array is a fluctuating source of energy and EV loads are also variable and do not consider the peak and off-peak hours. Therefore, in this work, a solar-powered charging station (CS) with intelligent control strategy tied to the grid is presented to address all the issues. The least mean square with an exponential function (LMSEXF) control is utilized to take care of power quality issues associated during grid integration of EV loads. The step factor of the presented control depends on the exponential function of the error caused by EV load side disturbances, which is updated based on the condition of the CS. It limits the harmonics in the grid current as demanded by the IEEE 519 Std. The multi-functionality of the LMSEXF adaptive technique for the CS is verified and validated through developed simulated model and a laboratory experimental workbench.