Multi-objective Optimal Operation Of Integrated Energy System Containing Hydrogen Energy

The aggravation of the energy crisis and the global trend of vigorously developing renewable energy put forward higher requirements for the utilization of energy.Compared with the single operation mode of traditional energy,the integrated energy system with better safety and less environmental pollution has better potential to reduce system operation cost and improve energy utilization efficiency,which has become a research hotspot in the energy field.The continuous advancement of related technologies has gradually upgraded the form of the integrated energy system.Driven by national policies and under the condition that the application technology of hydrogen energy continues to mature,hydrogen energy provides a new development idea for the development of the integrated energy system.In this paper,an in-depth study of the integrated energy system considering hydrogen storage equipment is carried out.First,the basic framework of a integrated energy system covering various energy conversion equipment and energy storage devices such as photovoltaic power generation system,gas turbine set,heat recovery steam generator,gas boiler,thermal energy storage,heat exchanger,electric chiller,absorption chiller,alkaline electrolyzer,hydrogen storage equipment,and hydrogen fuel cells has been established,the basic working mechanism of various types of equipment in the system is expounded,and the corresponding mathematical models of various types of equipment are constructed.Then,considering the electricity,heat,and cooling energy requirements of the integrated energy system,the system economical operation index and system energy-saving operation index are respectively proposed,and combined with the operation constraints of the system equipment,a multi-objective operation optimization model of the integrated energy system is established.Further,the ε constraint method is used to convert it into a series of single-objective mixed integer linear programming problems,and the Pareto frontier is obtained by efficiently solving the model,and then the TOPSIS method is used to make decisions for each optimal solution.Finally,the typical days of summer and winter are selected respect ively,and the optimized operation model is brought into the actual calculation exam ple for simulation verification,compared with single-objective operation,the multi-objective optimal operation of the system can achieve a compromise between the minimiza tion of system operation cost and the maximization of exergy efficiency.