Research on Optimization Strategy for Integrated Energy Systems with Compressed Air Energy Storage in Seaports

As the electrification of ports accelerates, the traditional single-energy supply model of seaports is evolving toward a multi-energy complementary system. Amid the wave of new power market reforms, integrated energy systems (IES) based on the coordination of generation, grid, load, and storage have emerged as a key enabler of intelligent energy utilization in seaports. Compressed air energy storage (CAES), with its advantages of large capacity, long-duration storage, and multi-energy supply of cooling, heating, and electricity, serves as an ideal complement to the comprehensive energy demands of seaport industrial parks. To further enhance the overall energy efficiency of seaport energy systems, this paper proposes a novel energy supply framework that integrates CAES with a combined cooling, heating, and power (CCHP) system. First, the long-duration storage capability of CAES is coordinated with the CCHP system to improve overall energy efficiency. Next, an optimization model is formulated with the objective of minimizing the total daily operational cost. Finally, a genetic algorithm is utilized to identify the globally optimal operating strategy for the system. The simulation results indicate that the proposed strategy reduces the economic cost of the system by 30% compared to the original configuration, thereby offering an economically viable and flexible solution for the low-carbon transition of seaport energy systems.