Abstract

Nowadays, the integration of electric vehicles (EVs) and photovoltaic (PV) systems into the electrical power network (EPN) is a significant research topic. The number of electric vehicles (EVs) is growing fast, which leads to a decrease in fuel consumption, emissions, and helps keep the environment clean. However, this will have an effect on EPN's operation owing to uncontrolled charging, especially during peak hours. PV systems belong to renewable energy sources (RESs) and have spread in most of the world recently. PV systems generate power intermittently during the day, solely depending on sunlight. To overcome these issues, controlled energy storage systems are used widely with PV systems and EVs. The superconducting magnetic energy storage system (SMES) is considered to be one of the vital methods to solve the power mismatch between load and generation power. Here a fuzzy logic control (FLC) system is proposed to determine the charging/discharging level of SMES with two inputs: (ii) the power line and (ii) the SMES current controlled by a DC-DC chopper. MATLAB/SIMULINK was used to perform simulations and test the effectiveness of the proposed control method. The results demonstrate that this controlled SMES charging/discharging method helps in reducing the power mismatch and improves EPN performance.

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