In maritime ports, carbon-free energy systems and energy conservation have gained significance due to the progression of environmental and climate change concerns. To guarantee the sustained success of seaports, technical innovations must be implemented across several systems, including port automobiles, maritime cranes, and the power sources of docked vessels. Harbor regions may require a shipboard microgrid to manage these factors. Microgrids that replace traditional generator equipment with renewable energy resources often create a huge impact when the system is supposed to operate in islanded mode under unexpected electrical events which also enhances the reliability and resilience of the electrical system, especially in maritime ports, shipped environment. This paper presents a thorough evaluation of the integration of renewable energy sources (RESs). This review encompasses diverse combinations of integrated systems, integration techniques, integration needs, microgrid communication issues, and the application of artificial intelligence in integration. The review thoroughly outlines the potential issues associated with integrating renewable resources into the grid and the control mechanisms employed. This research proposed a novel methodology-incorporated AI-based bio-inspired optimization algorithm for controlling the shipped microgrid to meet the critical load under any electrical disturbances. A case study is performed to examine the effects of employing artificial intelligence in the integration of renewable energy sources. The findings of the case study demonstrate that the implementation of artificial intelligence enhances the precision of operations, facilitating effective and precise predictive control of the integrated system. The proposed methodology is tested in MATLAB SIMULINK environment R2024a to verify the effectiveness of the control mechanism. .