Research On Optimal Operation Of Integrated Energy System For Renewable Energy Accommodation

Faced with the problems of renewable energy accommodation and environmental pollution,optimized dispatch for integrated energy system(IES)is a key method to improve renewable energy accommodation and reduce environmental pollution.The “combined heat and power”(CHP)operation mode of “fixed electricity by heat” greatly limits the flexibility and peakshaving capacity of the unit,and the renewable energy output is random.In response to the above problems,the model of CHP with power-to-gas(P2G)and carbon capture system(CCS)is established in IES,which reduces the electric and thermal coupling characteristics and expands the output range of the CHP units.The analysis of the results of optimal dispatch in IES shows that the capacity of renewable energy accommodation is improved and carbon emissions are reduced.On the basis of the above-mentioned optimized dispatching model to improve the renewable energy accommodation,the influence of the demand response and load inertia on the renewable energy accommodation are further analyzed.The demand response and load inertia can change the user’s energy consumption habits,play the role of peak shaving and valley filling and optimizing the load curve,inhibit the anti-peak shaving characteristics of renewable energy and further improve the capacity of renewable energy accommodation.This thesis takes IES as the research object and conducts research on improving the renewable energy accommodation.The main research contents of this thesis are as follows:Firstly,analyzing the operating characteristics of CHP,P2 G and CCS respectively.Based on the operating rules of CHP,P2 G and CCS,research on CHP,P2 G and CCS as a whole,and the operating characteristics of CHP with P2 G and CCS is analyzed,and the carbon emissions of CHP units with and without P2 G and CCS are compared.A model of the operating cost and constraint conditions of CHP with P2 G and CCS are established,which lays the foundation for the subsequent establishment of IES optimal scheduling model.Secondly,in the optimal scheduling model of IES,the carbon trading mechanism and the model of CHP with P2 G and CCS are considered,and the objective function of the minimum IES operating cost is established,including the equipment operating cost,the cost of wind and photovoltaics power curtailment,and constraint conditions.YALMIP and GUROBI are used to solve the optimal scheduling model of IES,and the rationality and effectiveness of the method proposed in this thesis are verified by simulation.Compared with other conventional models,the capacity of renewable energy accommodation of the proposed method is improved,and the carbon emissions and operating costs of IES are reduced.Finally,on the basis of the above research on the improvement of renewable energy accommodation by considering carbon trading and CHP units with P2 G and CCS,the impact of demand response and on renewable energy accommodation is further studied.The impact of changes in energy prices on energy consumption and the characteristics of heating and cooling loads inertia are studied,and a model of demand response and load inertia is established,including the constraint conditions of user energy satisfaction,thermal comfort and unbalanced supply and demand of cooling and heating loads.The analysis of the calculation example shows that,on the basis of the above optimization results,the capacity of renewable energy accommodation of the method proposed in this thesis is improved with consider the demand response and load inertia.