Research On Collaborative Optimization Strategy Of Energy Medium In Iron And Steel Enterprises Under Multi-scenario Mode

As an important pillar industry of the country,the iron and steel industry is also a typical high-energy-consuming industry.With the national strategic goal of "emission peak,carbon neutrality" and the needs of the steel industry’s own transformation,upgrading and development,how to achieve efficient production and operation,energy saving and cost reduction in the steel industry under the new situation has strong practical significance.Steel production has the characteristics of multi-energy medium,multi-conversion equipment,multi-process and long-process production.Its energy system involves various media such as coal gas,multi-stage steam,electricity,thermal coal,natural gas,and steam boilers,steam turbines,Self-provided power plants and other energy conversion equipment.This subject analyzes the energy system of iron and steel enterprises,and constructs the energy balance model and constraint model.Based on the improved swarm intelligence algorithm,the multi-energy plan optimization and the dynamic allocation of multi-media energy can be realized to reduce the production and operation cost.The main work is as follows:(1)The research background and significance of energy optimization of iron and steel enterprises are summarized,the research status of energy optimization models and optimization algorithms of iron and steel energy systems at home and abroad are discussed,and the research status of multi-scenario factors in energy systems of iron and steel enterprises is expounded.(2)The mechanism,structure and components of the iron and steel energy system are analyzed,and the constraints of the gas-steam-electric power system are studied,and the energy flow model of the iron and steel energy is established by analyzing the models of several equipment involved.The multi-scenario factors of iron and steel energy are classified and studied,and the multi-scenario factors of iron and steel energy are discussed from three aspects: equipment operating condition scenario,production planning scenario and dynamic medium price scenario.(3)Aiming at the optimization problem of energy planning of iron and steel enterprises,an optimization model of energy planning of iron and steel enterprises based on improved differential variation fireworks algorithm(IFWA-DM)is proposed.Taking the lowest economic operation cost as the objective function,by optimizing the energy plan in the system pipe network at each time of the day,the utilization efficiency of surplus gas is improved and the production and operation cost is reduced.Analyze the dynamic medium price scenario factors,blast furnace shutdown/rewind scenario factors,and use the actual production and operation data to establish a scenario model.After algorithm optimization,the optimal energy plans for 24 h gas,steam,and electricity in the pipeline network in the normal operation scenario and the blast furnace off-air scenario were obtained,and the total cost was reduced by 3.29% and 3.35%,respectively.(4)Aiming at the optimal allocation of medium between equipments in the steel energy system,an optimal allocation model for steel multi-media energy based on improved differential evolution algorithm is proposed.Taking the lowest production and operation cost as the objective function,the allocation scheme of the rich gas,thermal coal and other fuels among the conversion equipment is optimized.After optimization and solution,the allocation scheme of fuels such as surplus gas and thermal coal among equipment and the result of load allocation among equipment in normal operation scenario and wind off scenario are obtained respectively.The production and operation costs of the two schemes are reduced compared with those before optimization 2.79% and 2.88%.(5)A management platform system for steel energy planning optimization and deployment is designed.Based on the previous research results,the optimization and deployment of steel energy planning is developed based on technologies such as Java Script and My SQL database.Finally,a management platform system is built,which mainly includes real-time Production information,energy planning,operating cost analysis,key equipment information,scenario management,algorithm management,user management and other modules provide demonstration and reference for the intelligent management and digital transformation of steel energy.