Research On Optimization Method Of Hydrogen Production Capacity In Large Scale Wind Power Photovoltaic Base

In order to achieve the strategic goal of "30 carbon to 60 carbon neutral",the country needs to build a high proportion of renewable energy power systems with wind power and photovoltaic as the main body.However,when large-scale wind power photovoltaic grid connection occurs,it will also have a certain impact on the stable operation of the power grid.When the grid’s acceptance capacity is insufficient,it can lead to a series of problems of wind and light abandonment,reducing the utilization rate of wind power and photovoltaic energy.Developing large-scale solar hydrogen production,utilizing surplus solar power to produce hydrogen locally,and then applying the produced green hydrogen to other fields can improve the local absorption capacity of solar energy,improve the utilization rate of new energy,and assist the country in achieving energy transformation.The optimal configuration of the capacity of hydrogen production units can improve the economy of green hydrogen production.and reasonable planning and allocation of green hydrogen applications in different scenarios is of great significance for improving the comprehensive application benefits of green hydrogen under the current technological level.This article focuses on these two issues.The main work is as follows:(1)Taking a northwest province as an example,we first analyzed the characteristics of local scenery resources.Based on the k-means++algorithm,the typical daily division of local annual wind and solar output data is performed,and then the complementary characteristics of local wind and solar output are analyzed based on the volatility complementarity index.The results show that the local scenery resources are good,and the complementarity of scenery output is strong,which is extremely conducive to the development of large-scale scenery hydrogen production.(2)We propose a method for optimizing the capacity allocation of solar powered hydrogen production electrolyzers based on different typical solar conditions.A revenue maximization model for solar hydrogen production was established.Firstly,the optimal electrolytic cell capacity allocation for different typical days was analyzed.Then,within the optimal electrolytic cell capacity allocation range for different typical days,the global optimal electrolytic cell capacity allocation was solved using the annual relative maximum revenue as a measurement index.The results show that while obtaining certain benefits,the utilization rate of the whole year’s scenery has increased by 2.92%.Finally,based on the optimal capacity allocation,several factors affecting the cost of green hydrogen production were analyzed.The results show that the selling price of oxygen and carbon trading price have a significant impact on the cost of green hydrogen production,and they are compared with the cost of traditional energy hydrogen production.(3)We establish a green hydrogen application benefit model that considers both economic efficiency and carbon emission reduction.With the optimization goal of maximizing the overall use efficiency of green hydrogen in different application scenarios,we have analyzed the optimal allocation scheme of green hydrogen from two aspects,namely,more emphasis on economic benefits and more emphasis on carbon emission reduction benefits.The results show that at the current technical level,its priority for methanol synthesis is the highest,and its priority for hydrogen energy heavy trucks is the lowest.