| Abstract |
The increasing growth of electric vehicles (EVs) may arise as a challenge of increasing the load. Therefore, energy management in microgrids, including renewable energy resources such as PV systems,would be essential. Moreover, providing a smart charging pattern can optimize the overall cost of energy in a microgrid. In this paper, a genetic algorithm-based optimized fuzzy technique is developed,which has simple implementation such as rule-based methods and provides the optimal operation. Theproposed scheme is simulated in MATLAB/Simulink environment for a case study. Results show theeffectiveness of the proposed approach in comparison to conventional models. |
