首页|基于权重计算的光储耦合制氢系统模型预测优化控制

基于权重计算的光储耦合制氢系统模型预测优化控制

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对光储耦合制氢系统优化控制策略进行研究,提出一种考虑存在博弈关系的多目标优化的模型预测控制(MPC)功率分配策略.首先,构建光储耦合制氢系统架构,明确光储耦合制氢系统运行时需要满足的功率平衡方程;其次,将自适应多目标粒子群优化算法和MPC算法相结合搭建复合算法模型,给出同时考虑碱性电解槽(AEL)和储能电池特性的 3个目标函数,计算出最优控制增量权重系数;最后,利用 MATLAB-function 函数模块构建MPC控制器模型,将计算出的最优控制增量权重系数应用于MPC优化过程中,实现光储耦合制氢系统在线功率分配.与传统 MPC 优化控制方法进行仿真分析,验证了所提方法在一定程度提高了储能系统的运行指标,同时又降低了 AEL 输入功率的波动性,增强了光储耦合制氢系统的动态功率平衡能力.
MPC optimization control of optical-storage coupling hydrogen production system based on weight calculation
Optimization control strategies for hydrogen production system coupled with photovoltaic and energy storage are studied,and a power allocation strategy based on model predictive control that considers multi-objective optimization problems with game relationships is proposed.Firstly,the architecture of the hydrogen production system coupled with photovoltaic and energy storage is constructdd,and the power balance equation that needs to be met during the operation of the hydrogen production system coupled with photovoltaic and energy storage is clarified.Secondly,a composite algorithm model is established by combining the self-adaptive multi-objective particle swarm optimization algorithm with the MPC algorithm,and three objective functions that consider both alkaline electrolyzer(AEL)and energy storage battery characteristics are provided,then the weight coefficients of the optimal control increment are calculated.Finally,the MPC controller model is constructed using the MATLAB-function module,and the calculated weight coefficients of the optimal control increment are applied to the MPC optimization process,thus the online power allocation for the hydrogen production system coupled with photovoltaic and energy storage is ultimately achieved.Through simulation analysis and comparison with two optimization control methods,it is proven that the proposed method in this paper improves the operational indicators of the energy storage system to a certain extent while reduces the fluctuation of AEL input power,it enhances the dynamic power balance ability of the hydrogen production system coupled with photovoltaic and energy storage.

photovoltaic hydrogen productionenergy storage systemMPCweight coefficientpower distribution

李建林、梁忠豪、赵文鼎、梁策、袁晓冬

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北京未来电化学储能系统集成技术创新中心(北方工业大学),北京 100144

国网江苏省电力有限公司电力科学研究院,江苏 南京 211103

光伏制氢 储能系统 MPC 权重系数 功率分配

国家电网公司总部科技项目

5400-202318247A-1-1-ZN

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(2)
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