Agent-based modeling for energy supply chain resilience analysis

Energy Supply Chains (ESCs) are complex systems made up of numerous suppliers interacting with each other and with the environment. From the complexity of these interdependences, risk scenarios can originate in an unpredictable way, threatening the normal operation of the entire ESC and endangering its supply capability. New methodologies are, then, being developed for carrying out ESC risk and resilience analyses. In this study, we rely on agent-based modeling (ABM) to build a multi-layer ESC model for analyzing its resilience. Every element in the ESC is simulated as an agent implementing basic functions like sending and receiving orders, and production. We simulate different disruption scenarios and recovery strategies to investigate the essential factors influencing the resilience of the overall ESC