Real-Time Economic Dispatch Considering Adverse Weather Conditions in Renewable Generation

Economic dispatch (ED) of the microgrid (MG) is challenging for real-time power generation and storage because of the unpredictability of renewable energy sources. The MG ED with the battery storage system is therefore essential to diminish the uncertainty. This study suggests a novel binary jellyfish search algorithm to solve the MG ED problem with adverse weather conditions. The results show that incorporating the battery storage unit can appreciably reduce the real-time operating costs by more than 5%. Furthermore, the simulation results also show the effectiveness of the suggested MG ED approach.