Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems

To address the operational optimization issues of multiple heterogeneous energy in regional integrated energy systems, a coordinated operational optimization method for multi-energy storage systems aimed at multi-energy synergistic supply is proposed. Firstly, a coordinated operational optimization model based on multi-objective optimization was established for multi-energy storage systems by combining the architectural features of integrated energy systems with their operational requirements. And then, by taking into account three objectives of economy, environment, and energy efficiency, the model was used to optimize the operational parameters of systems by utilizing the improved multi-objective particle swarm optimization (MOPSO) algorithm in conjunction with the TOPSIS method. Finally, a case study was conducted using an actual regional integrated energy system in China, to explore the impact of different energy storage strategies on the system's operational performance and coordinated optimization effects. The research found that implementation of the coordinated optimization strategy for multi-energy storage systems can significantly enhance the system's performance in terms of economy, environmental protection, and energy efficiency. This study offers a viable solution for coordinated optimization of the multi-energy storage systems and synergistic supply of the multiple energies within regional integrated energy systems.