Configuration And Control Optimization Of Off-grid Solar Hydrogen Storage System

As the key technology to promote the large-scale development of renewable energy,the off grid wind solar hybrid hydrogen production technology can inject power into the realization of the goal of "carbon peaking and carbon neutrality".The core technologies involved in wind power generation,photovoltaic power generation,electrolytic water hydrogen production,battery energy storage and other technologies have been applied in engineering and have broad development space.The off grid solar hydrogen storage renewable energy system is not a simple superposition of the core technologies mentioned above,but a complementary advantage: the wide power fluctuation of hydrogen production electrolysis cells can greatly improve the absorption of solar power and improve the conversion efficiency of renewable energy;Correspondingly,further efficient utilization of wind and solar energy can bring cheaper electricity,providing an energy foundation for replacing coal and chemical by-products in hydrogen production by electrolysis of water,and achieving true "green hydrogen" preparation.This article analyzes the working principle and mathematical model of an off grid wind solar complementary hydrogen production system.Taking the Zhangjiakou Chongli wind power hydrogen production demonstration project as an example,it conducts in-depth research on capacity configuration optimization,input prediction,and operation control strategies in the wind solar hydrogen storage system.Firstly,construct mathematical models and Simulink simulation models for each unit in the wind solar hydrogen storage system,and conduct economic analysis.Propose mathematical calculation formulas for operating costs,system benefits,and environmental benefits,and obtain the objective function with the highest net benefit of the system.By iteratively optimizing the objective function using the Grey Wolf algorithm and maximizing the system’s net income,the capacity configuration optimization of wind turbines,photovoltaic panels,hydrogen production electrolyzers,and energy storage batteries is achieved,laying the foundation for system simulation analysis.Secondly,in response to the impact of wind and solar input volatility on system operation and energy conversion,an input prediction model suitable for wind and solar hydrogen storage systems is proposed.By predicting the maximum value of data,input volatility is reduced while retaining data features to improve prediction accuracy.According to the probability distribution characteristics of the scenery in the same geographical environment,and based on the wind speed prediction with stronger volatility,a combination prediction model of Gray wolf algorithm and Short-term memory artificial neural network is constructed,which provides a reliable basis for the formulation of the control strategy of the wind solar hydrogen storage system and the analysis of the system simulation.Finally,the working principles and control strategies of wind turbines,photovoltaic panels,hydrogen production electrolyzers,and energy storage batteries were analyzed.Based on typical control strategies of each unit and combined with the characteristics of wide power fluctuation operation,a control method was established for the engineering demonstration project in this article to improve the efficiency and safety of system energy regulation,and is applicable to other off grid solar hydrogen storage systems.Using wind speed and light intensity data from the Chongli area of Zhangjiakou as input,and based on the optimization results of capacity configuration,the proposed control strategy for wind and solar hydrogen storage system is used for Simulink simulation analysis.The results show that the proposed capacity optimization configuration algorithm can effectively improve the system’s revenue,and the maximum prediction method used improves the prediction accuracy,ensuring the effective execution of control strategies,which has certain guiding significance for the future engineering application of wind and solar hydrogen storage systems.