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Steelmaking Scheduling And Energy Optimization Of Steel Enterprises Based On Process Network Simulation

Posted on:2022-01-04Degree:DoctorType:Dissertation
Country:ChinaCandidate:Q Y LiangFull Text:PDF
GTID:1481306512492624Subject:Metallurgical engineering
Abstract/Summary:PDF Full Text Request
Greening and intelligence are the two basic elements of the transformation and upgrading of smart manufacturing in the steel industry.Studying the optimization of production systems and energy systems is an important way to achieve green and intelligent goals,and has very important practical significance.In recent years,with the general improvement of enterprise automation and informatization,the intelligent manufacturing improvement projects have been gradually implemented.It is urgent to use intelligent models to solve the production optimization-scheduling problem in the complex production process and the multi-energy medium optimization allocation problem of steel enterprises.Aiming at the shortcomings and limitations in the current research on steelmaking scheduling and energy optimization problems,this paper proposes a new solution for optimization modeling based on process network simulation,and conducts key technology research and application verification.The main contents are as follows:(1)Fully considering the characteristics and difficulties of steelmaking scheduling in steel enterprises,a smart steelmaking dynamic scheduling scheme based on multi-agent technology is proposed,and a universal multi-agent process network simulation optimization basic model is constructed.It is applied and verified in combination with different actual production scenarios of ordinary steel and special steel.Application results show that this technology can greatly reduce ineffective operation time,improve operation efficiency,and can adapt to the changing field environment,effectively solves the difficult problem of planning and scheduling with strong coupling,multi-path,multi-objective,multi-constraint,multi-interference characteristics in the steelmaking production process.(2)Fully considering the characteristics of tight coupling between energy and production in iron and steel enterprises,from the perspective of energy flow,a basic description model of energy flow network has been constructed.It is including the main process energy flow model,the medium energy flow network model,the energy flow network integration model.In this way,information characterization of the mutual influence and mutual coupling relationship between the material flow and energy flow are carryied out;starting from the production process of the steel process,modelling scheme for establishing the energy flow node model of the main process was proposed based on the static factors,dynamic factors and the fluctuation law of the energy itself.The specific analysis,model description and prediction verification of the energy flow of the main process were carried out with gas and electric media as examples.The real-time process rhythm and dynamic working condition information are fully considered in the prediction process,so that the model has better adaptability.For the gas prediction model,the model error is basically within 10%;for the power 96-point load prediction model,the model error is within 5%to reach 96%,and both have achieved good prediction results.(3)Based on the energy flow network model,two energy optimal allocation models have been constructed.One is to build a rule-based energy simulation allocation model for the intelligent generation of energy plans with the goal of meeting demand and minimizing emissions,the other is to construct an energy optimal allocation model based on optimization algorithms for the dynamic energy dispatching problem with the goal of emission and cost minimization.And respectively through simulation analysis,the applicability and effectiveness of the model are verified.The two parts of the research have modeled for different specific application problems and different optimization goals,and combined with the energy flow network model to form a complete model system,which provides a new method for the multi-condition scenario planning and optimize coordination.
Keywords/Search Tags:Steel industry, Steelmaking scheduling, Multi-agent, Energy flow network, Energy optimization
PDF Full Text Request
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