Adaptive Backstepping Control of Renewable Energy Based Grid Interactive Chargibg Station for EV with Power Quality Improved
Keywords:
Grid Interactive Charging Station, Adaptive Backstepping Control, Renewable Energy Integration, Electric Vehicle Charging, Power Quality ImprovementAbstract
The Sophisticated control strategies for Grid Interactive Charging Stations (GICS) becomes imperative due to with the growing prominence of Electric Vehicles (EVs) and the increasing integration of renewable energy sources into power systems. This paper explores the application of Adaptive Backstepping Control in the context of a Renewable Energy-Based GICS for EVs, focusing on enhancing power quality during the charging process. The Adaptive Backstepping Control algorithm is designed to adapt to the dynamic and uncertain nature of renewable energy inputs, providing a robust and efficient control framework for the GICS. Through optimising power flow and regulating oscillations in renewable energy supply, the system aims to improve power quality metrics including voltage management and harmonic reduction during EV charging. The proposed control methodology is compared with an Adaptive Frequency-Fixed Second-Order Generalized Integrator featuring DC offset rejection capability. The comparison encompasses key performance indicators, including power quality indices, transient response, and overall system stability. The findings contribute to the advancement of control methodologies for GICS, ultimately fostering the development of sustainable and high-performance EV charging infrastructure integrated with renewable energy sources.
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