Research On Optimal Scheduling Of Hydrogen-Containing Integrated Energy System Considering Source-Load Uncertianty

With the increasingly serious energy crisis and environmental problems,it is the key to build a new generation of energy system in China to break through the traditional energy system,vigorously develop the integrated energy system(IES)with multi-energy flow coupling such as electricity and heat,and promote the diversified and clean development of energy.In IES,reasonable scheduling of electric energy and thermal energy can increase the schedulable space of each unit and improve the operation economy and flexibility of the system while meeting the needs of social energy use.At the same time,considering the uncertainty of wind power,photovoltaic and electrical and thermal loads,it will have a great impact on the optimal operation of IES.In this context,this paper carried out IES optimization research considering source-load uncertainty.The main research contents are as follows:(1)The basic framework and mathematical model of hydrogen-containing IES are established.Firstly,the operation framework of IES with various energy forms such as electricity,heat,hydrogen and gas is constructed.Secondly,the hydrogen energy system model is established,and the equipment such as electrolytic cell and hydrogen fuel cell in the system is modeled in detail to explore the potential of hydrogen energy utilization and improve the operation economy of the system.Then,the energy network model is established for the power system and thermal system in IES.Finally,the energy conversion equipment and energy storage equipment in IES are modeled independently.Through the research and analysis of IES operation framework,energy network model and mathematical model of energy equipment,it provides a theoretical foundation for the subsequent research on the optimal operation of IES.(2)Research on thermoelectric optimal scheduling of hydrogen-containing integrated energy system considering dynamic balance of thermal energy.Firstly,considering the thermal inertia of the thermal system,the thermal inertia model of the energy storage characteristics of the heating pipe network and the load side building in the thermal system is established.Then,based on the ambiguity of the user ’s requirements for room temperature,the thermal power relaxation term is introduced to maintain the dynamic balance of thermal energy,improve the flexibility of the system equipment output,and alleviate the peaking pressure during the peak heat load;Secondly,the flexibility evaluation index is introduced to examine the changes in the output of each unit.Finally,taking the lowest operating cost of the system as the objective function,the energy balance and network security as constraints,the IES thermoelectric optimal scheduling model is established,and the proposed scheduling model is verified by an example.The simulation results show that the proposed model can reduce the operation cost of the system,improve the wind power consumption level and improve the operation flexibility of the system while meeting the energy demand of users.(3)The optimal scheduling of integrated energy system considering source-load uncertainty and flexible supply-demand constraints is studied.Firstly,on the basis of the above research,the Latin hypercube sampling method and the scene reduction technology based on Kantorovich distance are used to deal with the uncertainty factors on both sides of the source and load.Then,considering that there are many uncertain factors in the operation of the IES system,in order to improve the system ’s ability to cope with system uncertainty,the flexibility evaluation index is introduced and used as a constraint to make the system flexible enough to cope with uncertainty.Finally,the IES thermoelectric optimal scheduling model is constructed with the objective function of system operation economy and flexibility,and four scenarios are set up for comparative analysis to verify the effectiveness of the model.Through the example analysis,the results show that the scheduling results obtained by considering the uncertainty of source and load on the basis of the above optimization model can ensure the stable operation of the system and the results are more reasonable and feasible than the deterministic optimization scheduling results.