为进一步提高离网型风光制氢系统的经济性以及运行稳定性,提出离网型风光氢储系统容量配置与控制优化方法。首先,结合风力机、光伏组件、碱性电解槽和锂电池的运行特性建立容量配置模型;以系统收益最大为优化目标,采用灰狼优化算法（GWO）进行求解。其次,提出基于区间最值的灰狼算法优化长短期记忆网络（GWO-LSTM）组合预测模型,并以此为基础开展系统运行控制策略研究。最后,针对张家口崇礼风电制氢示范工程项目数据进行算例分析,结果表明采用灰狼优化算法对风光氢储系统进行容量配置能增加系统收益,同时验证了提出的系统控制策略能保证系统平稳运行。
Abstract
A system capacity configuration and control optimization method is proposed in this paper to improve the economy and operational stability of the off-grid wind-solar hydrogen production system. Firstly, a capacity configuration model is constructed based on the operating characteristics of wind turbines, photovoltaic modules, alkaline electrolyzers and lithium batteries. Taking the maximum revenue of the system as the optimization objective, the grey wolf optimizer （GWO） algorithm is adopted to solve the energy allocation model. Secondly, a combined long short-term memory GWO-LSTM prediction model based on interval extremum is realized and in-depth research on the control strategy for system operation is conducted. Finally, using the data of the wind power hydrogen production demonstration project in Zhangjiakou for case analysis, the results show that the GWO algorithm to configure the capacity of the wind solar hydrogen storage system could increase system revenue, and the proposed control strategy to ensure the smooth operation of the system is also verified.
关键词
风电 /
光伏 /
储能 /
制氢 /
容量配置 /
风功率预测 /
灰狼优化算法
Key words
wind power /
PV power /
energy storage /
hydrogen production /
capacity configuration /
wind power prediction /
grey wolf optimization algorithm
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基金
河北省科技厅重点研发计划（20314501D）; 河北省科技支撑重点研发项目（19214501D）; 河北省科技厅引进国外智力项目（2019YX005A）; 河北省教育厅青年基金（QN2021222）
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