Research On Control Of Hydrogen Energy Storage System Under Wind-solar Hybrid Power Generation

As a large number of new energy power generation systems are connected to the grid,the characteristics of large output power fluctuations lead to the phenomenon of "abandoning wind and light".Combining wind power,photovoltaic and hydrogen energy storage technologies that cannot be absorbed by the power grid,a wind-solar hybrid power generation hydrogen storage system is established to provide a method for solving the problem of excess energy consumption.The level of hydrogen production efficiency is the key to determining the adaptability of the entire hydrogen storage energy storage system.The efficient hydrogen production efficiency can make better use of renewable energy.First,conduct extensive data collection and literature search on renewable energy,hydrogen energy storage technology and development status,analyze and compare the feasibility,applicability and technical characteristics of various energy storage technologies to extract wind-solar complementary and energy storage The focus of the integrated operation mode.Guided by the efficiency of hydrogen production,according to the working principles and processes of wind power generation,photovoltaic power generation,hydrogen production by water electrolysis,and pressure storage hydrogen,a corresponding mathematical model is built,and a combined hydrogen production system for wind and solar complementary power generation in MATLAB/SIMULINK the model is simulated and analyzed.Secondly,through the optimized combination of the operating conditions and process parameters of the entire system,the simulation data is summarized and analyzed to obtain several factors that affect the efficiency of hydrogen production,such as total light radiation,ambient temperature,wind speed and electrolyzer temperature Etc.,and the influence characteristics of different factors on the efficiency of hydrogen production in different links.Then,the fuzzy comprehensive decision-making method is used to select the decisive factors that affect the hydrogen production efficiency of the system.Finally,for the total radiation amount that has the highest weighting effect on hydrogen production efficiency,based on the operating characteristics of solar photovoltaics,on the basis of the existing Maximum Power Point Tracking(MPPT)method,in order to further improve the tracking accuracy,A MPPT composite control algorithm optimized by neural network is proposed to realize the fast and high-precision tracking requirements of the photovoltaic system.Through simulation analysis and comparison with a single fuzzy control algorithm,the photovoltaic MPPT composite control algorithm combined with the two control algorithms can track the maximum power point more quickly and accurately,with higher tracking accuracy,which verifies the feasibility of the composite control algorithm.