摘要
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。
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 MATLABfunction 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.
作者
李建林
梁忠豪
赵文鼎
梁策
袁晓冬
LI Jianlin;LIANG Zhonghao;ZHAO Wending;LIANG Ce;YUAN Xiaodong(Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration(North China University of Technology),Beijing 100144,China;State Grid Jiangsu Electric Power Co.,Ltd.Research Institute,Nanjing 211103,China)
出处
《热力发电》
CAS
CSCD
北大核心
2024年第2期59-67,共9页
Thermal Power Generation
基金
国家电网公司总部科技项目(5400-202318247A-1-1-ZN)。
关键词
光伏制氢
储能系统
MPC
权重系数
功率分配
photovoltaic hydrogen production
energy storage system
MPC
weight coefficient
power distribution
