Font Size: a A A

Research On Hydrogen Production Capacity Planning Of Wind Power In Consideration Of Wind Curtailment Rate And Economic Efficiency

Posted on:2022-07-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y WangFull Text:PDF
GTID:2491306509493354Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the problem of climate warming,countries around the world have reached a consensus on the transition to clean and low-carbon energy.For this reason,China has put forward the goals of "carbon peak" and "carbon neutrality".In this process,it is necessary to reduce dependence on traditional fossil energy,and to increase the proportion of wind power and other new energy power generation in my country’s power structure year by year.However,wind power is affected by natural conditions such as wind and wind speed,and its output is inherently volatile and intermittent,which is not conducive to large-scale grid integration.In the case of insufficient acceptance capacity of the power system and imperfect forecast accuracy of wind power output,a certain amount of wind abandonment will be formed to reduce the resource utilization rate of wind power.As an emerging energy storage model in recent years,hydrogen energy storage can effectively reduce wind curtailment and smooth wind power fluctuations.It also has the advantages of clean and green,high heating value,and diversified product output.Exploring the capacity planning for the deployment of hydrogen storage in wind farms can not only reasonably reduce the wind curtailment rate,but also improve the economics of the wind power hydrogen production system.This article first calculates the boundary of the rated power of the electrolyzer based on the time series production simulation and the wind curtailment rate constraint.Based on the original data of a 200 MW wind farm in Gansu,it fits the worst case of wind power fluctuations,which change too fast to consumptive.The wind power output is used for hydrogen production,and the rated power of the electrolytic cell is calculated under different abandonment rates.The calculation example shows that when the abandonment rate is between 0% and 10%,the rated power boundary of the electrolytic cell is 76.69 MW and 10.94 MW.Secondly,this paper analyzes the principle of the efficiency degradation of the electrolyzer,explores the change of the replacement cycle of the electrolyzer in the wind farm application scenario,and establishes the life cycle cost and the income model of hydrogen sales and government subsidies.The capital payback period and internal return rate evaluate indicators.Then,this paper discuss the impact of economic parameters such as investment unit price,hydrogen production unit price,and hydrogen sales price on the system economy,and this paper analyze the economic feasibility of the wind power hydrogen production system.Finally,the two-level planning model for hydrogen production capacity of wind power is proposed.The upper targets are system investment cost,total life cycle cost and internal rate of return.The lower optimization target is the wind farm abandonment rate,and the decision variable is electrolysis.The operating power of the tank is compared with the single-objective optimization model.The genetic algorithm is used to solve the model,and the result shows the contradiction between the abandonment rate and the planned value of the electrolytic cell capacity.The lower the abandonment rate,the greater the capacity of the electrolytic cell.According to the difference between the abandonment volume and the abandonment power,a variety of scenarios are constructed,and the abandonment rate and economic indicators of various optimization schemes in each scenario are calculated.The results show that the twolevel programming model based on the upper-level optimization target of the internal rate of return can better balance the abandonment rate and the economy of the hydrogen production system.
Keywords/Search Tags:Hydrogen production from wind power, electrolyzer, capacity planning, production simulation, economic evaluation
PDF Full Text Request
Related items