부산대학교 도서관

Promoting renewable energy is vital to meet the future energy requirements. Our study primarily focuses on developing a dynamic approach that utilizes a sophisticated algorithm to manage the bidirectional flow of energy between electric vehicles (EV’s) and the power-grid. This strategy takes into account multiple objectives and criteria, such as optimizing energy supply and demand. A management and regulatory algorithm balances production and consumption. The bidirectional control ensures a balanced flow of energy between a home, electric vehicles (EV’s), and the power-grid. Next, the system is simulated to evaluate the multi-objective optimization of the regulation algorithm for charging/ discharging modes of electric vehicles (EV’s).The goal is to ensure that energy demands are met. Batteries in vehicles store and release energy based on electrical demand. Genetic algorithms optimize storage. Many case studies employ weighted sums and normalized objective functions. Matlab simulates optimal values after calculation. Simulation follows regulatory algorithm setup and optimization. Thus, reversible energy flows, production, and consumption are readily managed.