Optimal energy management for multi-energy microgrids using hybrid solutions to address renewable energy source uncertainty

Research in industrial grid energy management is essential due to increasing energy demands, rising costs, and the integration of renewable sources. Efficient energy management can reduce operational costs, enhance grid stability, and optimize resource allocation. Addressing these challenges requires advanced techniques to balance supply, demand, and storage in dynamic industrial settings. In this study, a new hybrid algorithm is used for system modelling and low-cost, optimal management of Micro Grid (MG) networked systems. Optimizing micro-sources to reduce electricity production costs through hourly, day-ahead, and real-time scheduling was the process' primary goal.This research proposes a Quadratic…