PSO Based Fuzzy Logic Controller for Load Frequency Control in EV Charging Station

Electric vehicles are highly preferred in today's scenario to provide an environmentally friendly nature and preserve natural resources such as petroleum and diesel. Many studies on the technical and economic feasibility of electric vehicle charging stations have been conducted. The majority of the research does not focus on power fluctuations in the charging station caused by load variations. Only a few studies have looked into this issue and proposed a static frequency control method for power fluctuation control. However, they used a predefined solver feasp to find the best value for controlling the primary and secondary frequency controls in this method. Within its local optimal region, this technique finds its solution. As a result, an optimization-based feasp for controlling power fluctuations in charging stations is proposed. The Enhanced Particle Swarm Optimization based Fuzzy Logic Controller (FLC) is suggested here for finding the best solution to reduce power fluctuations using feasp. This optimized approach effectively reduces power fluctuations by determining the best value for controlling the primary and secondary charging frequency in electric vehicles. The system becomes stable in the shortest time with PSO-based FLC, according to simulation results. Furthermore, the magnitude of frequency oscillations, peak overshoot, and settling time are reduced. A comparison of the PSO-FLC method with the conventional method and the Linear-Quadratic Regulator method are compared to justify controller tuning.