Supramolecular Power Grid Topology: A Thermodynamic Framework for Autonomous Self-Healing Power Systems

Abstract: Traditional power system topology is rigidly managed via centralized algorithms, mimicking static structural frameworks that struggle against unpredictable, high-speed volatility. This paper proposes a novel conceptual framework that maps the principles of supramolecular chemistry, dynamic covalent chemistry (DCC), and dissipative systems onto the macroscopic control of electrical power grids. By treating power flow routing as a process of dynamic kinetic stability, and mapping protective relays and automated switches to the thermodynamic behavior of sacrificial and reversible chemical bonds, we outline an entirely localized, agent-based paradigm for Fault Location, Isolation, and Service Restoration (FLISR). This biological and chemical mimicry provides a mathematical foundation for true autonomous "self-healing" behavior in modern distributed energy networks. Correspondence and collaboration inquiries: [email protected]