Fuzzy Logic Controller for Power Balancing and Stability Enhancement in Renewable EV Hybrid Microgrids

In this paper, we use a FLC based control approach to increase stability and power balancing in a hybrid microgrid that incorporates Vehicle-to-Grid (V2G) technology for renewable energy sources. Powering AC loads, a centralized microgrid might use a mix of renewable energy sources, including solar PV, wind farms, and diesel generators. To address fluctuations in renewable energy generation and load demand, the FLC regulates the V2G interface, allowing for the injection of EV stored energy into the grid in times of shortage. The controller designs control actions to govern V2G based on real-time data such as grid voltage, load demand, and renewable power availability. When operating in this system’s unidirectional V2G mode, electric vehicles do not charge from the grid but instead expend energy to sustain it. This is in contrast to bidirectional vehicle operations. The simulation results show that the proposed fuzzy-based control technique does a better job of ensuring effective power sharing among distributed sources, increasing system stability, and power factor. Maintaining stable and dependable operation of hybrid renewable microgrids is made easier by integrating the FLC with V2G capabilities. Testing in MATLAB/Simulink has shown that, independent of load or generation, the FLC approach stabilizes operation and decreases voltage fluctuations. Based on the study, microgrid management using FLCs may improve power quality, operational efficiency.