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Transitioning from a centralized power system infrastructure to a decentralized power system with power generation spread across the distribution network is a rather new shift in modern society. This transition has introduced challenges in achieving resilience and interoperability on the distribution network as well as new technological demands from its users. This study addresses these challenges by focusing primarily on low-voltage and medium-voltage distribution networks, due to their limited redundancy and radial structure, which introduces susceptibility to energy disruptions. Such disruptions can be caused by several factors, often introducing complex situations. Generally, they can be grouped into two sections: man-made and nature-related, with their probability of occurrence being low. These vulnerabilities on the distribution network are expanded while the integration of renewable energy and systems to store energy is increasing. The main motivation for this research arises from the increasing need for reliable, modular, and sustainable systems capable of withstanding normal and extreme conditions. In these extreme conditions, high-impact, low-probability events play a major part as they range from natural disasters to man-made disruptions. While there are solutions, they often fall short of ensuring seamless interoperability between diverse components. To address these issues, this study proposes the development of a multi-temporal, modular, and scalable framework built on the principles of integrated digitalized energy systems, which includes scenario-based simulations on the modified IEEE 33-bus and IEEE 69-bus distribution networks. The core objective is to minimize energy not supplied given a load's priority across a time interval, especially during disruptive scenarios. The quantitative results demonstrate that the proposed strategies reduced energy not supplied from 57.8 MWh to 57.6 MWh in the modified IEEE 33-bus system and significantly from 33.1 MWh to 31.5 MWh in the modified IEEE 69-bus system under worst-case scenarios. With the integration of energy storage systems, the average Resilience Index improved to 32% compared to 30% without the inclusion, for the modified IEEE 33-bus network, and 58% for the modified IEEE 69-bus network with the inclusion of energy storage systems compared to 55% without the inclusion. The findings indicate that storage deployment offers greater resilience benefits in the modified IEEE 69-bus network compared to smaller ones. Ultimately, this study contributes to the development of smart distribution systems capable of maintaining functionality under stress, while aligning with key United Nations Sustainable Development Goals for affordable, reliable, and sustainable energy infrastructure. • Active and proactive strategies for resiliency enhancement • Optimal management of resources in normal and contingent events • Activating the demand response blocks in emergencies