Optimal Scheduling Of Integrated Energy Systems Considering Ladder-type Carbon Trading And Electric Vehicle Demand Response

In order to deal with the energy crisis and environmental pollution,the development and utilization of renewable energy is a common strategy of many countries.The multi-energy integrated energy system with has become one of the issues of research in recent years because of its advantages in renewable energy consumption.In an integrated energy system represented by combined heat and power(CHP)units,due to the intermittent and random characteristics of wind power and the constraints of ‘heating to determine power’ of CHP units,the phenomenon of system curtailment of wind is serious,which reduces the operational economy of system.In the context of ‘dual carbon’,carbon trading is an effective means to control carbon emissions,which can effectively improve the environmental protection of system operation.This thesis takes an integrated energy system as an example,introduces ground source heat pumps with relatively high heating energy efficiency,considers the value of electric vehicles participating in load scheduling as an incentive demand response and the impact of ladder carbon trading on system carbon emissions,then establishes a mathematical model of integrated energy system considering ground source heat pumps,the step-type carbon trading and the demand response of electric vehicles,scheduling in order to improve the economical and environmental protection of the system operation.The major study issues of this thesis are as the following:Firstly,the ability to scheduling objects in the integrated energy system were analyzed from the perspectives of source,network,load,and storage,and the mathematical models of the main units in the system were built as well.In order to reduce wind power abandonment in the system,a ground source heat pump was studied considering its high heating energy efficiency,its operational principle was analyzed,the mathematical model was presented,and thus the model of an integrated energy system with ground source heat pump was established.The optimization simulation results of the model show that: the introduction of ground source heat pump into the integrated energy system reduces wind power abandonment at night,improves the capacity of wind power consumption,and reduces the operational cost of the whole system.Secondly,in order to further reduce the wind power abandonment t in the system and improve the economy of system operation,the value of electric vehicles as an incentive demand response to participate in system scheduling is considered.The charging load of electric vehicles was predicted based on Monte Carlo method.and a mathematical model of orderly charging load of electric vehicles was proposed as well.On this basis,the optimization scheduling model of integrated energy system including ground source heat pump was established considering the demand response of electric vehicles.Scheduling optimization simulation results of the model show that scheduling the electric vehicles as an incentive demand response to participate in load scheduling is considered,which effectively increasing the of wind power consumption and ensuring the operational economy of system.Finally,in order to actively respond to the ‘dual carbon’ national policy,the stepped carbon trading of the system scheduling was studied.the carbon trading mechanism was introduced and ladder-type carbon trading cost model was presented,combines carbon emissions and system operating costs.On the basis,an optimal scheduling model for integrated energy systems considering ground source heat pump,ladder-type carbon trading and electric vehicle was proposed.The optimal scheduling simulation results show that for the optimal scheduling of the integrated energy system,considering the step-type carbon transaction cost can effectively reduce the carbon emissions and the environmental pollution of the system.