Research On Optimization Of Hierarchical Coal Scheduling Based On Industrial Coordination

Coal is an indispensable nutrient for modern industry.China’s energy structure of rich coal,poor oil and little gas determines that China’s energy supply has always been dominated by coal.However,the distribution of domestic coal resources is uneven.The geographical contradiction between coal supply and demand has produced a large amount of coal transportation demand,so it is of great significance to study coal transportation.At present,the coal dispatching and transportation plan of large energy enterprises mainly relies on manual work.It will be the future development direction of large-scale energy enterprises to fully use scientific information means,realize man-machine joint decision-making and make dispatching plan.First of all,the problem of layered coal transportation is carried out.The essence,elements and characteristics of coal transportation is studied in this paper,and sums up the coal transportation problem is summed up as a non-traditional transportation problem.At the same time,the existing solution model and algorithm of coal transportation problem is analyzed,and its application combined with the characteristics of the algorithm is also analyzed in the paper.On the basis of analyzing the existing solving models and algorithms,the model types and solving algorithms of coal dispatching problem in this paper are determined.Secondly,according to the decomposition logic of coal transportation plan,three optimization models which contains Year model,Quarter-month decomposition model and Daily model is established respectively.Taking the Year model as an example,the performance of Genetic Algorithm and Lingo in solving coal dispatching problem is verified in the paper.Through the establishment of space-time network,the monthly changes of coal transportation,inventory and sales volume are taken into account in the Quarter-monthly decomposition model.Taking the coal price changes around the COVID-19 epidemic as the data,the optimization ability of the model in the case of sudden natural events was verified.The cross period arrival of coal trains and requirement of average-loading in the station is considered in the Daily model.The railway skylight plan and average-loading constraints are considered in the model.Finally,based on the three-level optimization model,an algorithm case of coal transportation problem with consistent correlation is established.Based on the results of the Year model,Lingo is used to solve the Quarter-month decomposition model and the Daily model.Through the calculation,the solution idea and algorithm are proved to be efficient to solve the optimization problem of hierarchical coal scheduling,and the results can better provide decision-making basis for large energy enterprises.