Amato, V., Amigoni, F., Restelli, M., & Castelletti, A. (2025). A DCOP-Based Framework for Macro Energy System Planning. [Extended abstract]. IFAC SENSYS 2025

Traditional macro-energy system models frequently rely on centralized optimization, assuming a single decision-maker and full stakeholder cooperation. In contrast, real-world energy planning is inherently decentralized, with countries pursuing independent objectives. This work contributes an alternative framework based on Distributed Constraint Optimization Problems (DCOPs), enabling autonomous national optimization and coordinated decision-making over cross-border electricity exchanges. The model simulates the dynamics of multi-agent energy systems and is implemented on the Frodo2 platform.