economic operation of multi-carrier microgrids considering energy markets and renewable electricity production

This study proposes a stochastic mixed-integer linear programming model for the optimal operation of a microgrid incorporating multiple energy carriers. due to the inherent uncertainty in renewable energy generation, sudden high power generation from renewable sources may occur that the system cannot utilize directly. nonetheless, these surplus energies can be transformed into other carriers. in this study, a probabilistic distribution function has been utilized to implement the stochastic model. the analysis results demonstrate that this approach effectively captures the stochastic behavior of the system. the research models and evaluates electric and hydrogen vehicle parking lots to assess their roles within the system. the approach is tested through two scenarios, demonstrating significant reductions in operational costs by effectively leveraging the sudden renewable energy surges. operational costs for the first and second scenarios are 19,526 and 15,671 mu, respectively. a sensitivity analysis is also performed to confirm the robustness of the findings, ensuring the model’s reliability under various conditions.