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Research On Low-Carbon Scheduling Strategy Of Integrated Energy System In Agricultural Industrial Park Based On Biomass-P2G Coupling

Posted on:2024-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:X W ChangFull Text:PDF
GTID:2543307094461454Subject:Electrical engineering
Abstract/Summary:
Facility agriculture is a kind of agricultural production method with a high degree of intensification,representing the direction of agricultural modernization.To achieve the ’double carbon’ goal of ’carbon peak and carbon neutral’,new requirements have been put forward for the development of the facility agriculture industry in the new era.As an important part of the facility agriculture industry,the Integrated Energy System(IES)in the facility agriculture industrial park has many types of coupled equipment and complex energy supply methods and contains a large amount of biomass resources.The carbon emissions generated by the direct use of biomass are not conducive to the development of ’double carbon’.Direct use of biomass generates carbon emissions that are not conducive to the development of facility agriculture under the ’double carbon’ target.Along with the uncertainty of renewable energy supply and load demand,this poses new challenges for the development of integrated energy systems in facility agriculture industrial parks under the ’double carbon’ target.In this thesis,we focus on the lowcarbon optimal dispatching strategy of biomass-power-to-gas(P2G)coupling for the integrated energy system in the industrial park under the ’double carbon’ target.The research work of this thesis is as follows:(1)Establish the overall architecture of the integrated energy system in the industrial park of facility agriculture.Analyze and introduce the role of each component unit in the integrated energy system of the park and the equipment.Establish the mathematical model of equipment output according to their operational characteristics and working principles.Analyze the integrated demand response characteristics of the electric load in the park to establish the corresponding electric load demand response model.This lays the foundation for the subsequent study of the low-carbon optimal dispatching strategy of the integrated energy system of the facility agriculture industrial park coupled with biomass-P2 G.(2)To study the low-carbon dispatching strategy of integrated energy system in the industrial park under the goal of ’double carbon’,a biomass-P2 G coupling model is established.The carbon reduction principle of the integrated energy system in the park with biomass-P2 G coupling is introduced.On this basis,the low-carbon optimal dispatching model is established before the day,with the economy and carbon emission of the integrated energy system of the park as the objective function.The analysis shows that the lowcarbon optimal dispatching strategy of the park integrated energy system with biomass-P2 G coupling established in this thesis can improve the utilization rate of carbon in the park without significantly increasing the operation cost of the park integrated energy system,reduce the external energy purchase of the park,and thus reduce the carbon emission of the park.(3)In view of the uncertainty of renewable energy output and load demand in the park,a model based on Model Predictive Control(MPC)algorithm is constructed for the integrated energy system day-ahead lowcarbon optimal scheduling strategy.On the basis of the day-ahead optimal scheduling results,the MPC algorithm is used to refine and correct the output of carbon emission response equipment in the short-term intra-day scheduling by real-time rolling and feedback correction to reduce the impact of the uncertainty of renewable energy and load demand on the system economy and carbon reduction effect.Finally,by constructing comparative simulation case analysis,it is shown that the established intra-day low-carbon optimal dispatch model can well cope with the impact of uncertainty factors on the system economy and carbon reduction effect.
Keywords/Search Tags:Facility agriculture, Integrated energy system, Biomass-P2G coupling, Low-carbon optimal dispatch strategy, Multi-time scale
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