| In the context of the era of carbon peaking and carbon neutrality,it is imperative to change the way of energy utilization and vigorously develop renewable energy such as wind energy.However,the inherent intermittent and unstable characteristics of renewable energy such as wind energy will bring about a mismatch between renewable energy generation and load demand,resulting in low utilization efficiency of renewable energy.Energy storage technology can absorb and release energy in a timely manner,and solve the problem of mismatch between renewable energy generation and load,which has attracted widespread attention.Compressed air energy storage has become an energy storage technology that has attracted much attention due to its long storage period,low pollution and low cost.However,the relationship between the compressed air energy storage system and the renewable energy capacity has not yet been proved,which leads to the low economic benefit of the current compressed air energy storage system and affects the promotion and application of the compressed air energy storage system.In order to solve this problem,this thesis aims at the economic benefits of the compressed air energy storage system coupled with wind power,considers the system power balance and gas capacity constraints,and studies the capacity configuration and operation planning of the compressed air energy storage system under the uncertain conditions of wind energy,so as to lay a theoretical foundation for the application of compressed air energy storage systems.The specific research work is as follows:(1)Firstly,the bin interval method,Weibull distribution,weighted average method,Newton interpolation method and other technologies are used to remove abnormal data from the historical data of wind power stations and users and fill in the vacant values.Then,effective data are extracted to establish the typical wind power hourly curve and typical load hourly power curve.(2)Secondly,considering the power company time-sharing electricity price,cost of investment,lack of power compensation factors such as cost and sell electricity benefit,with compressed air energy storage system power balance and gas storage capacity as constraint conditions,to maximize the return on investment and minimum air tank volume as the goal,economic evaluation model is set up,using the NSGA-II and TOPSIS method to obtain the typical working conditions,Capacity of compressed air energy storage system.Then,according to the typical conditions,the system operation strategy is obtained.(3)Then,the simulation analysis of power scheduling under optimal capacity configuration is carried out for different power generation side scenarios.The results show that the best economic benefit can be obtained by using the capacity configuration of compressed air energy storage system with rated power of 1 MW and rated capacity of 7 MWh when the wind farm keeps four wind turbines in operation for a plant with a load power demand of 3.24 MW per hour.At the same time,based on the scale of energy storage capacity,1244 MWh of wind abandoned power is consumed annually and 2562 kg of carbon emission is cut daily.If carbon transaction cost is considered,the project investment payback period is only 4.9 years.(4)Finally,based on the typical working condition curve and economic evaluation model,this research builds a compressed air energy storage system capacity configuration Web APP through MATLAB and Python and other program software,and visualizes the entire simulation operation process for different scenarios.Provide a computing platform for energy storage configuration and operation planning. |
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