An Optimized Federation Model for Park-Level Integrated Energy Systems in Industrial Internet of Things

In order to achieve energy consumption optimization and decarbonization in the Industrial Internet of Things (IIoT), this article establishes a novel framework for optimal scheduling of park-level integrated energy systems (PIESs). This framework incorporates carbon capture technologies alongside a multienergy joint supply subsystem model featuring hydrogen storage, complemented by a structured stepped carbon trading mechanism. Furthermore, a novel optimized federation model is developed to balance low carbon emissions and economic performance by federating the carbon capture system into the tiered carbon trading mechanism. The primary objective of this model in the context of the IIoT is to minimize energy procurement costs, wind abandonment costs, and carbon trading expenses while maximizing revenues from carbon dioxide sales. The CPLEX optimization tool is utilized to address this complex challenge. Finally, several scenarios are simulated to demonstrate the effectiveness of the optimized PIESs in reducing the operational costs and minimizing carbon footprint.