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Optimal Operation Of Regional Integrated Energy System Considering Two-stage P2G

Posted on:2023-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y Z RanFull Text:PDF
GTID:2542307073982419Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years,energy crisis and environmental pollution have become the focus of global attention,while the scale of renewable energy power generation is rapidly expanding.Aiming at the goal of energy based economic and social construction,regional integrated energy system has become a research hotspot due to its advantages of efficient energy utilization and flexible operation mode.With the development of hydrogen energy,the demand for hydrogen fuel cell vehicles is increasing,and the regional integrated energy system with hydrogen load has gradually entered the research field.However,due to the mismatch between renewable energy generation and load demand in space and time sequence,a lot of energy waste and economic loss are generated in the system.As one of the important supporting technologies of IES,P2 G technology can effectively alleviate this problem.At the same time,the conversion efficiency of electricity to hydrogen in P2 G technology is high,and the introduction of regional integrated energy system is also conducive to energy conversion and system operation.The optimization and economic reliability analysis of regional integrated energy system need to be further studied because of the energy coupling and complex operation.First of all,according to the internal chemical process of P2 G technology and the respective advantages of the two utilization methods,a two-stage P2 G device model of combined hydrogen production and armored production was established in this paper,including electrolytic cell,methanation reactor,hydrogen storage tank and gas storage tank.On this basis,the meter is constructed and two stage P2 G model of "electric-gas-hydrogen-storage-heat" regional integrated energy system topology structure and analysis system of wind power,photovoltaic power generation,gas turbine,boiler equipment,working principle of electric energy storage devices,to establish the corresponding mathematical model,the theoretical basis for system optimization for subsequent chapters.Secondly,aiming at the problem of wind and light abandoning and economic cost optimization of the electric-gas-heat-storage-hydrogen coupling regional integrated energy system,an optimal scheduling method of regional integrated energy system considering P2 G two-stage model was proposed.Establish the optimization goal of minimum daily scheduling cost,set the constraints to meet the balance of system energy supply and demand and equipment operation conditions,establish the system optimization scheduling model,and use the optimization algorithm to solve the optimal system operation plan and corresponding optimal cost under different typical scenarios.Technical and economic analysis was carried out in different seasons,whether P2 G was included,and whether demand side response was considered to verify the rationality and effectiveness of the method.Finally,aiming at the randomness and volatility of multivariable in the regional integrated energy system,a robust-stochastic operation optimization method considering source-charge uncertainty is proposed.Take robust optimization to deal with the uncertainty of fan and photovoltaic output,take random optimization to deal with the uncertainty of the load,to consider the cost of carbon trading,integrated operation cost minimum as the optimization goal,system balance between supply and demand conditions and uncertain quantitative constraints,robust-random operation optimization model is set up,using optimization algorithm to solve,Based on the optimization results of different carbon trading mechanisms,different scenery uncertainty adjustment parameters and different load scenarios,the carbon emissions,economic cost and operation robustness of the system were analyzed.
Keywords/Search Tags:multi-energy coupling, Integrated energy system, P2G, Operation optimization, Robust optimization, Economic analysis
PDF Full Text Request
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