Multi Energy Collaborative Optimization Model for Integrated Energy System Under Multi-Mode Ice Storage Air Conditioning

The research mainly investigates the impact of two different working modes of ice storage cooling systems on the planning and optimization of comprehensive energy systems, as well as the planning and optimization methods. Firstly, the planning and design of the comprehensive energy system is carried out by integrating equipment such as electric boilers, ground-source heat pumps, and ice storage cooling systems to construct the network structure of the comprehensive energy system. Secondly, the article establishes equipment output models and energy balance constraints, with the objective of minimizing the total investment over the entire life cycle, and uses genetic algorithms for planning and design. Finally, taking a certain park in the north as an example, the optimal configuration of equipment for the comprehensive energy system in the park is obtained under the operation condition of full ice melting of the ice storage cooling system, and the relationship between the peak-valley electricity price difference and the selection of operation schemes is analyzed. The results show that when the peak-valley electricity price difference is small, the system chooses to plan and design with partial ice melting operation condition of the ice storage.