The vulnerability of power grids has not received sufficient attention, even despite the increasing use of new energy sources in the form of microgrids to increase resilience with the approach of reducing energy costs. With the increasing complexity of the structure of power grids and the increasing integration of renewable energy sources in the form of microgrids, the stability and resilience of these systems against functional disruptions and cyber attacks has become a significant challenge. Although the use of microgrids and new energy sources such as solar and wind energy can help reduce dependence on centralized sources and increase the operational flexibility of the grid, recent studies show that in conditions of simultaneous occurrence of disturbances (such as the exit of a power plant and a transmission line or busbar), the current grid structure is still exposed to serious vulnerabilities. This challenge is particularly pronounced when microgrids operate independently of each other. Current approaches to managing energy exchanges between microgrids and the upstream main grid are inefficient, limiting the grid's ability to reduce vulnerability and economically optimize performance. Also, microgrids face problems such as difficulty in integrating with the main grid and real-time monitoring, which leads to an increased risk of instability and inefficiency in the system. To address these challenges, this paper presents a novel solution that provides a solution to reduce vulnerability and cost in a multi-region structure with a multi-objective approach to improve coordination and real-time monitoring. In this structure, there are three independent regions, each containing a microgrid composed of renewable energy sources such as fuel cells, wind, solar, and tidal. These microgrids interact with the upstream grid and aim to reduce the vulnerability of the entire grid as well as reduce costs in each region through efficient energy exchanges. To manage these energy exchanges in a multi-region structure, while maintaining the independence of each region, the distributed primal-dual multiplier (PDMM) method is used. This decentralized energy management method eliminates the need for central control and ensures optimal performance of each region. The architecture presented in this study facilitates the implementation of PDMM, improving the robustness, scalability, and reliability of the system. The proposed framework enables energy exchanges between regions to be carried out in a coordinated and real-time manner and reduces network vulnerability. The research findings show that this method significantly reduces network vulnerability and leads to improved system resilience. The findings of this research show that the proposed method reduces network vulnerability from 21.242 to 20.379 and improves system resilience.