Research On The Optimal Operation Of Regional Integrated Energy System Based On Reward And Punishment Ladder Carbon Trading

With the overexploitation and utilization of natural resources around the world,the global environment is deteriorating.Countries around the world are trying to change the global carbon dioxide emissions by changing the energy structure.Vigorously developing clean energy power generation has also become the current trend.The power grid is also vigorously developing towards the sustainability of a low-carbon economy.In order to reduce the damage to the environment caused by carbon dioxide generated in the process of exploitation,transportation and use of the energy chain in the regional integrated energy system,decrease spend of system,this thesis sets up a regional integrated energy system,which including cooling,heating and power,as the target of study.In this thesis,a regional integrated energy system optimization model is built,and the reward and punishment ladder carbon transaction is considered into the model.The proposed optimized operation model can cost-effectively promote the economic and environmental benefit of the system.Firstly,the thesis describes the structure and mathematical model of a classical energy hub,and then on the basis of the energy hub,the thesis puts forward a regional integrated energy system containing cooling,heating and power,which consists of energy supply port,energy conversion section,energy saving section and load port,and sets up a mathematical model and restraints for each equipment in the system.It gives a theory foundation for studying the optimization issues of regional integrated energy system which considers the reward and punishment step carbon trading cost.Secondly,the thesis analyzes the carbon emissions of the system using the whole life cycle method,so as to achieve more targeted reduction of carbon dioxide and meet the potential for economy and emissions decrease of the system,and achieve the completeness of the analysis of carbon dioxide produced in the progress of energy from nature to nature.The distribution decision method is used to allocate the initial carbon emission quota to achieve the fairness of carbon emission quota allocation;In this thesis,an optimization algorithm called gradient particle swarm optimization-sparrow search is put forward.Then,using MATLAB simulation tool,three test functions are used to prove that the proposed optimization method who can escape the local optimum dilemma.The method has high precision and convergence rate compared with the gradient method and the sparrow search method.The optimization algorithm is applied to the optimization matter of regional integrated energy system.Finally,to improve the economy and environmental friendliness of the system,the thesis adds a reward and penalty step carbon trading cost to the optimal operation of the regional integrated energy system.Then the thesis sets the minimum system spend as the target function,and then the thesis sets up different operation scenarios with specific examples,and uses MATLAB simulation tools,it analyzes the calculation examples from four aspects:carbon dioxide emissions,comparison of different optimization algorithms under different scenarios,unit output under various scenes,and spending of system.The optimization outcome indicates that the regional integrated energy system which is on the basis of reward and punishment stepped carbon trading can not only effectively improve the absorption capacity of wind power and photovoltaic,but also effectively stimulate the energy conservation and emission reduction of the system.At the same time,the regional integrated energy system can also obtain considerable carbon trading benefits.The optimization model has good low-carbon and economic performance.