Study On Optimization Of Electricity And Coal Supply Chain Considering Economic Cost And Carbon Reduction

As a raw material for thermal power generation,a stable and low-cost supply of coal is the common expectation of the participants in the coal supply chain.With the rising awareness of environmental protection,the introduction of "carbon peaking and carbon neutrality",the government’s emphasis on carbon emissions and the formulation of many emission reduction policies,green and low-carbon power energy supply has become everyone’s expectation.As an important part of power generation,how to realize the green and low-carbon development of thermal power requires an in-depth study on the low-carbon operation of coal supply chain.Based on the overall level of electric coal supply chain,this paper divides it into production link,transportation link and consumption link by analyzing its structural framework.Based on the spatial distribution and interrelationship of supply and demand points calculated by using clustering algorithm on real data,the carbon emission and cost composition of each link is analyzed.And accordingly,a multi-objective planning model of the electricity and coal supply chain is constructed.The model takes the lowest total emission and total cost of the supply chain as the objective and the attributes of the supply chain components as the constraints.Then,by integrating the supply and demand points,structural analysis and multi-objective planning model,this paper constructs a simulation model of electric coal supply chain.Based on the simulation technology of multi-intelligent body system,the parameters of intelligent bodies such as supply point,demand point,railroad,train,dry bulk carrier and port are set up respectively with the help of Anylogic platform,and the data statistics channels are set up for different intelligent bodies to obtain the intelligent body operation data.Finally,the actual data is used as the basis of empirical analysis,and the simulation results are obtained through the simulation model simulation operation,and the key parameters of cost reduction and carbon reduction are obtained after the full analysis of the results,and the optimization is carried out for their key parameters.In this paper,it is reasonable to construct a multi-objective planning model and a multiintelligence simulation model,and the two can be organically combined.The simulation model can specify the constraints of multi-objective planning,and at the same time,the values of the parameters required for the objective function can be counted,and the multi-objective planning model can analyze the results of the simulation model as a whole,and the final optimization conclusion can be reached through the comprehensive analysis of the two models.Meanwhile,through the analysis of the simulation results after the optimization of the key parameters of cost reduction and carbon reduction in each link of the coal supply chain,the carbon reduction plan of the coal supply chain should be optimized around the CH4 emission from raw coal production,the composition of electricity required for production,the emission factor of consumption,and the selection of incoming coal type,etc.,and the cost reduction plan should be optimized around the production cost of production and the raw material cost of consumption,etc.The cost reduction plan should be optimized around factors such as production cost in the production chain and raw material cost in the consumption chain.For example,the low-carbon operation of the coal supply chain should focus on the production and consumption stages,and the reduction of carbon emissions can be achieved by reducing the proportion of coal mines with deeper mining depths and very low production,selecting coal types with lower emission factors for the furnace,improving the environmental protection level of boilers,and reducing carbon emission factors.