摘要
针对风电场计划出力跟踪精度不足、储能系统调控不力、输出功率波动较大的问题,本文提出风氢耦合系统超前控制策略,其中风氢耦合系统由风电机组-电解槽-储氢罐-燃料电池耦合而成。基于氢储能系统状态、超短期预测功率及日前计划出力,制定系统调节策略,提出最大化计划出力跟踪能力、最大化储能系统调节能力以及最小化功率波动平滑加权的目标函数,利用布谷鸟搜索算法对出力参数进行逐点滚动优化,实现风氢耦合系统计划出力跟踪能力的有效提高。所提出的超前控制策略能减小系统实际输出与出力计划的误差,保持氢储能系统有效调节能力,减小系统平均功率波动,具有良好的应用前景。
Aiming at the problems of insufficient tracking accuracy of planned wind farm output,weak energy storage system regulation,large output power fluctuations,this paper proposes an advanced control strategy for the wind-hydrogen coupling system.Based on the state of the hydrogen storage system,the ultra-short-term power forecasting and the day ahead power forecasting,formulate a system adjustment strategy,propose the objective function of maximizing the planned output tracking ability,maximizing the energy storage system adjustment ability,and minimizing the power fluctuation smooth weighting,using algorithm performs point-by-point scroll optimization on the output parameters to achieve the effective improvement of the planned output tracking ability of the windhydrogen coupling system.The advanced control strategy proposed can reduce the error between the actual output of the system and the output plan,maintain the effective adjustment capacity of the hydrogen energy storage system,and reduce the average power fluctuation of the system,which has a good application prospect.
作者
卢捷
于立军
郑培
侯胜亚
Lu Jie;Yu Lijun;Zheng Pei;Hou Shengya(China-UK Low Carbon College,Shanghai Jiao Tong University,Shanghai 201306,China;College of Smart Energy,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第3期53-60,共8页
Acta Energiae Solaris Sinica
基金
上海市科学技术委员会基金(19DZ1206202)。
关键词
风电
氢储能
功率预测
布谷鸟算法
超前控制策略
wind power
hydrogen storage
power prediction
cuckoo algorithm
advanced control strategy
