Optimal Scheduling Of Electricity-Gas Integrated Energy System Based On Natural Gas Dynamic Model And Carbon Trading Mechanism

With the development of the world economy,the environmental problems such as energy shortage and carbon emission caused by fossil fuel combustion are becoming more and more serious.The traditional energy system,which is independent of each other,cannot realize the cascade utilization of energy and the energy utilization efficiency is low.As an important way of energy structure transformation and low carbon and efficient utilization of energy,the electricity-gas integrated energy system can alleviate the consumption of renewable energy such as wind and light abandonment,realize energy efficient utilization,and effectively relieve the pressure on energy and environment.It is one of the mainstream energy system operation modes in the future.To study the optimization dispatching of the power-gas integrated energy system,the energy utilization efficiency and economy of the power-gas integrated energy system will be further improved.Aiming at some unsolved problems existing in this research,this paper studies as follows:At first,for the previous electricity and gas integrated energy system optimization scheduling,the dynamic process of natural gas,has not been considered for gas flow in the pipeline for this feature,the gas dynamic mathematical model was established,using the method of characteristic line of the model of the nonlinear hyperbolic partial differential equations are linearized processing,convenient is deduced to solve the linear relationship between node parameter equation.The simulation results show that the dynamic model can reflect the process of natural gas flow more accurately.Secondly,aiming at the flexible operation mode of the micro gas turbine and the power-to-gas equipment two-way flow coupling,an economic optimization dispatching model of the power-gas integrated energy system based on the dynamic characteristics of natural gas is established.In order to minimize the cost of electricity purchase and gas purchase,operation cost of the system and the penalty cost of wind and light abandonment,under the condition of satisfying the constraints,the output optimization and analysis of each equipment are carried out through particle swarm optimization algorithm according to the data of electricity,gas,heat and cooling load.Finally,on the basis of the above research,considering the impact of system carbon emissions on the environment,in order to reduce the carbon emission of the system quickly and effectively,on the one hand,the carbon capture system is used to process the carbon dioxide produced by power generation and provide the power-to-gas equipment.on the other hand,the introduction of a carbon trading mechanism,a low carbon economy optimization scheduling model is put forward,and by setting the three kinds of operation mode,the example simulation compared to verify the effectiveness of the proposed model of low carbon economy.