Coordinated Control Strategy of Hydrogen Producing System Powered by Renewable Energy Considering Downstream Hydrogen Load Fluctuations

YUAN Tiejiang; TAN Jie; WAN Zhi

doi:10.7500/AEPS20220811001

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Coordinated Control Strategy of Hydrogen Producing System Powered by Renewable Energy Considering Downstream Hydrogen Load Fluctuations

Basic Research | 更新时间：2025-06-16

- Coordinated Control Strategy of Hydrogen Producing System Powered by Renewable Energy Considering Downstream Hydrogen Load Fluctuations
- Automation of Electric Power Systems Vol. 47, Issue 6, Pages: 150-157(2023)
- 作者机构：
  
  大连理工大学电气工程学院，辽宁省大连市 116024
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China
- DOI：10.7500/AEPS20220811001
  CLC：
- Received：11 August 2022，
  
  Revised：2022-11-13，
  
  Published Online：29 January 2023，
  
  Published：25 March 2023
- 稿件说明：
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袁铁江,谭捷,万志.考虑下游氢负荷波动的新能源制氢系统协调控制策略[J].电力系统自动化,2023,47(6):150-157.

YUAN Tiejiang,TAN Jie,WAN Zhi.Coordinated Control Strategy of Hydrogen Producing System Powered by Renewable Energy Considering Downstream Hydrogen Load Fluctuations[J].Automation of Electric Power Systems,2023,47(6):150-157.
袁铁江,谭捷,万志.考虑下游氢负荷波动的新能源制氢系统协调控制策略[J].电力系统自动化,2023,47(6):150-157. DOI： 10.7500/AEPS20220811001.

YUAN Tiejiang,TAN Jie,WAN Zhi.Coordinated Control Strategy of Hydrogen Producing System Powered by Renewable Energy Considering Downstream Hydrogen Load Fluctuations[J].Automation of Electric Power Systems,2023,47(6):150-157. DOI： 10.7500/AEPS20220811001.

摘要

针对下游氢负荷波动不确定的新能源制氢系统，提出了一种基于模型预测控制的自适应功率协调控制策略。首先，确定新能源制氢系统基本结构及数学模型；然后，基于模型预测控制原理，将氢负荷流速、新能源实际最大出力以及电解槽启停状态等作为系统不确定性干扰变量，并通过预测模型滚动优化各电解槽制氢功率、电池出力以及新能源弃电功率，进而实现电池荷电状态、储氢罐压强、电网负荷的日内实时跟踪和电解槽启停状态的优化控制。最后，通过算例仿真验证了所提策略的有效性，并针对各参数进行了灵敏度分析和鲁棒性分析。

Abstract

Aiming at the hydrogen producing system powered by renewable energy with uncertain downstream hydrogen load fluctuations

an adaptive power coordinated control strategy based on model predictive control is proposed. First

the basic structure and mathematical model of the hydrogen producing system powered by renewable energy are determined. Then

based on the model predicive control principle

the hydrogen load flow rate

the real maximum output power of the renewable energy sources

and the start-stop status of the electrolyzer are used as the uncertainty interference variables of the system

and the hydrogen producting power of each electrolyzer

the output power of the battery

and the abandoned power from the renewable energy are optimized in a rolling manner through the prediction model. Further

the intraday real-time tracking of the state of charge of the batteries

the pressure of the hydrogen storage tank

and the power grid load

as well as the optimal control of the start-stop status of the electrolyzer are realized. Finally

the effectiveness of the strategy is verified by case simulation

and the sensitivity analysis and robustness analysis are carried out for each parameter.

关键词

Keywords

references

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