| In recent years,with the continuous development of the iron and steel industry,Chinese crude steel output has ranked first in the world.However,the energy-saving level of Chinese iron and steel enterprises is far from that of the world’s top enterprises.The comprehensive energy consumption per ton of steel is much higher than that of developed countries,and there is still obvious room for energy-saving improvement.In order to better deal with the problem of energy shortage,we need to tap energy-saving technologies from all aspects to improve energy efficiency.Multi-medium energy allocation optimization technology,as an important means of energy saving in iron and steel enterprises,can achieve unified control of energy generation,transportation,conversion and storage,which is of great significance for energy saving and consumption reduction of energy system in iron and steel enterprises.This subject takes the multi-objective energy allocation system of iron and steel enterprises as the research object to study the energy conservation and consumption reduction of iron and steel enterprises.The main research contents are as follows:Firstly,this paper studies the structure of energy allocation system in iron and steel enterprises,then systematically analyzes the characteristics of multi-media energy and the operation characteristics of multi-media energy optimization equipment in iron and steel enterprises,and expounds the multi-objective optimization theory used in the optimization of energy allocation in iron and steel enterprises.Aiming at the characteristics of complex production process,many types of energy media,many optimization variables and complex constraints of multi-media energy planning optimization problem in iron and steel enterprises,an improved MOEA/D optimization method based on population evolution degree is proposed.Firstly,based on the time of use price and the buffer characteristics of gas holder,the optimization model of energy planning is established;Secondly,taking the process saturation as the decision variable,the target value is determined by the decoding method based on the energy production and consumption rules.Then,on the basis of MOEA/D,for the steps of constraint processing,decomposition operation and neighborhood update,the constraint processing of boundary rebound,normalized Chebyshev aggregation function and neighborhood adaptive update based on population evolution are adopted to realize the optimization of multi-media energy plan.Simulation experiments show that the proposed algorithm has the advantages of convergence and diversity,and the cost and energy consumption of the corresponding energy plan of the iron and steel enterprises are reduced by 1.5% and 1.2%.Aiming at the characteristics of large number of energy equipment groups,strong timeliness and large changes in dynamic equipment efficiency in iron and steel enterprises,an improved NSGA-II method based on adaptive mutation strategy is proposed on the basis of energy planning optimization scheme.Firstly,based on the real-time equipment operation efficiency of variable load and considering the fluctuation penalty cost of boiler and gas holder,the multi-media energy allocation optimization model of iron and steel enterprises is established;Then,based on NSGA-II algorithm,the population initialization based on chaotic sequence,fast non dominated sorting with constraints and adaptive mutation strategy are designed to improve the convergence performance of the algorithm;Simulation experiments show that the improved NSGA-II algorithm is conducive to improve the anti-interference ability of gas holder,reduce boiler load fluctuation,improve the stability of energy allocation system.The corresponding cost in energy allocation is reduced by 8.3% and the energy conversion efficiency is improved by 2.6%.In order to facilitate the industrial application of energy optimization,a multi-media energy allocation software system for iron and steel is designed.Firstly,the structure of steel multi-media energy allocation software system is analyzed in detail,which is composed of logic layer,data layer and presentation layer;Then,combined with the steel multi-media energy plan based on the improved MOEA/D algorithm and the steel multi-media energy allocation technology based on the improved NSGA-II algorithm,the functions of user management,data management,multi-media energy plan and multi-media energy allocation are realized,which provides a reference for enterprise energy conservation optimization. |