Multi-Objective Stochastic Optimization Models for Hybrid AC/DC Microgrid Energy Management

This study aims to create advanced stochastic optimization models for the strategic energy management of hybrid AC/DC microgrids. The primary focus is on optimizing energy costs, environmental sustainability, and system reliability, considering the uncertain behaviour of renewable energy sources and load demands. The research focuses on the modelling and analysis of these models using MATLAB. By incorporating sophisticated forecasting of renewable energy production and demand projections into a strong optimization framework, the models effectively manage the inherent uncertainties in the energy system. The multi-objective method provides a means to optimize the operations of hybrid AC/DC microgrids by considering and balancing important factors like cost, sustainability, and dependability. The efficacy of the suggested models is verified showcasing significant improvements in operational efficiency, cost reduction, and environmental sustainability. This study offers significant insights for the development and functioning of upcoming energy systems, providing a strong foundation for academics, engineers, and politicians involved in microgrid energy management.