Coal Blending Optimization Model Of Thermal Power Plant And Its Application Study

With the trend of rapid scientific and economic growth in China,proper use of the coal resource in thermal power generation is critical.Up to now,most thermal power plants in China have adopted the coal blending technology.By mix-burning multiple types of coal,appropriate compositions can be obtained,which will not only make full use of the inferior coal resource to improve economic efficiency of thermal power plants,but also reduce atmospheric pollution to protect the environment.This thesis simulated the coal blending optimization model on the Matlab2010b platform and conducted application design in the planning management of coal blending for thermal power plants,using the linear coal-blending model combined with the analytic hierarchy process(AHP)and the principle components analysis(PCA)methods.The primary focus of this research is listed below.1)Information about the properties of individual type of coal required in thermal power plant was collected,based on the statistical results of which candidate types of coal to be mix-burned were selected.There exist various types of coal with significantly different properties such as volatile matter,ash content,nitrogen oxides,and sulfur contents,which are subject to variations of storage time and regions.Based on the in-depth understanding of these types of coal,this study chose four types of lignite(Linfen coal,Yangquan coal,Yuci coal,and Ordos coal)for blending.2)Objective functions and constraint conditions were determined and coal blending optimization model was established.In this study,coal costs,sulphur emission,high-quality coal usage,and water content were selected as the objective functions.According to the practical conditions in thermal power plants,four important industrial indicators including heat value,volatile matter content,ash content,and sulphur content were employed as the constraints of the coal blending model.The problem of converting the multi-objective function to single objective was successfully solved using AHP.24 different coal blending schemes were obtained,and the optimum one was eventually determined by comprehensively comparing each one using PCA.Through Matlab simulation test,the detailed solving logic and procedures were verified,and the coal blending optimization model was established.Fairly good results were achieved in the validation test.3)Application design of coal blending optimizationAccording to the design demands of thermal power plant,coal blending optimization was considered as part of the fuel planning management function.Planning management includes various modules including quality management,plan decomposition,multi-level inspection,and documentation management.Specifically,quality management consists of coal quality assurance and design of coal blending optimization.In this study,the planning management function was developed using C#on the VS platform,and the database design was implemented using Oracle 11g.The developed data storage structures are clear and legible,which is expected to provide guidance for future research.