Research On Operation Control Strategy Of New Energy Hydrogen Production System

As one of the main energy sources in the future,hydrogen energy is widely used and easy to obtain from source materials.Compared with electric energy,it has the characteristics of large storage capacity and flexible transportation methods.The new energy hydrogen production system is used to produce hydrogen on a large scale to solve the problem of new energy.Eliminating problems and accelerating the transition to a hydrogen energy society are feasible measures.The new energy hydrogen production system currently has many technical problems that need to be solved,mainly including operation control strategies,energy storage and its capacity configuration,energy management,and electrolysis of water hydrogen production technology.This paper studies the operation control strategy of the new energy hydrogen production system.The main tasks are as follows:Construct a new energy hydrogen production system,and propose a control strategy for each unit of the system.The mathematical models and control methods of system units such as wind power generation systems,photovoltaic power generation systems,and alkaline electrolyzers have been established to realize the power control of each unit of the system.Aiming at the optimization operation of a large-scale intermittent new energy hydrogen production system,a day-ahead output optimization model based on the start-stop characteristics of the electrolyzer is proposed.Considering real-time electricity price changes,the operating status of multiple electrolyzers,and the intermittentness of new energy sources,and satisfying constraints such as power balance constraints and electrolyzer production constraints,a day-ahead output optimization model of the hydrogen production system with the lowest system operating cost was established to reduce system operating costs.Taking into account the uncertainty caused by the forecast information ahead of time,an operation control strategy based on model predictive control is proposed.First,the maximum output of wind and solar,the state of the electrolytic cell are used as system disturbance variables,the electrolysis power and the power purchased from the grid are used as control variables,and the battery SOC and hydrogen storage tank pressure are used as state variables to establish the system state space expression.Secondly,taking the battery SOC of the previous production plan,the Day-ahead change curve of hydrogen storage tank pressure and the power purchase as the reference target,and considering the system constraints such as battery SOC,a rolling optimization control model is established.Finally,the online modification of the state value of the electrolytic cell was introduced in the process of solving the optimization problem,which realized the transformation of the working state of the electrolytic cell to the hot standby state.The results show that the control strategy based on model predictive control can achieve multi-control target tracking.When the weight factor R is greater than 2000 and the control time domain N_cis greater than 3,the rolling optimization control strategy has a good tracking effect;after the parameters are determined,the optimization model has When solving,operate according to the optimized solution(ie control variable),which can resist the interference of new energy and hydrogen load uncertainty;compared with the operating results of different strategies,the system transportation cost strategy under strategy 1 and strategy 2 is the control of this article The cost of the strategy is1.21 times and 1.144 times,which proves the economic superiority of the control strategy proposed in this paper.