This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of w...This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of wind power generation.A predictive control strategy for the micro wind-hydrogen coupled system is proposed based on the ultra-short-term wind power prediction,the hydrogen storage state division interval,and the daily scheduled output of wind power generation.The control strategy maximizes the power tracking capability,the regulation capability of the hydrogen storage system,and the fluctuation of the joint output of the wind-hydrogen coupled system as the objective functions,and adaptively optimizes the control coefficients of the hydrogen storage interval and the output parameters of the system by the combined sigmoid function and particle swarm algorithm(sigmoid-PSO).Compared with the real-time control strategy,the proposed predictive control strategy can significantly improve the output tracking capability of the wind-hydrogen coupling system,minimize the gap between the actual output and the predicted output,significantly enhance the regulation capability of the hydrogen storage system,and mitigate the power output fluctuation of the wind-hydrogen integrated system,which has a broad practical application prospect.展开更多
离网型风氢系统在制氢时,风电出力的波动性会导致电解槽的频繁启停,降低电解槽的使用寿命和制氢效率。因此,需要根据风电出力情况,合理调整电解槽的运行状态和功率。为有效控制电解槽,提出一种基于风电预测的多目标滚动优化(multi-objec...离网型风氢系统在制氢时,风电出力的波动性会导致电解槽的频繁启停,降低电解槽的使用寿命和制氢效率。因此,需要根据风电出力情况,合理调整电解槽的运行状态和功率。为有效控制电解槽,提出一种基于风电预测的多目标滚动优化(multi-objective rolling optimization,MRO)控制方法对风氢系统的电解槽进行控制。首先,对风电功率进行预测,并对预测值进行一阶差分运算,并根据结果确定系统电解槽的运行机组数量。然后,采用多目标适应度函数对电解槽进行滚动优化,平衡各电解槽的运行时间、启停次数、待机时间以及波动功率。最后,根据实时功率顺序分配电解槽的功率和运行状态。为验证所提控制方法的有效性,将所提方法与简单启停(simple start-stop,SS)控制策略和阵列轮值(array rotation,AR)控制策略相比。仿真结果表明,所提方法的电解槽具有更低的启停次数和更高的产氢量,可以有效提高风氢系统的经济性。展开更多
基金the Key Research&Development Program of Xinjiang(Grant Number 2022B01003).
文摘This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of wind power generation.A predictive control strategy for the micro wind-hydrogen coupled system is proposed based on the ultra-short-term wind power prediction,the hydrogen storage state division interval,and the daily scheduled output of wind power generation.The control strategy maximizes the power tracking capability,the regulation capability of the hydrogen storage system,and the fluctuation of the joint output of the wind-hydrogen coupled system as the objective functions,and adaptively optimizes the control coefficients of the hydrogen storage interval and the output parameters of the system by the combined sigmoid function and particle swarm algorithm(sigmoid-PSO).Compared with the real-time control strategy,the proposed predictive control strategy can significantly improve the output tracking capability of the wind-hydrogen coupling system,minimize the gap between the actual output and the predicted output,significantly enhance the regulation capability of the hydrogen storage system,and mitigate the power output fluctuation of the wind-hydrogen integrated system,which has a broad practical application prospect.
文摘离网型风氢系统在制氢时,风电出力的波动性会导致电解槽的频繁启停,降低电解槽的使用寿命和制氢效率。因此,需要根据风电出力情况,合理调整电解槽的运行状态和功率。为有效控制电解槽,提出一种基于风电预测的多目标滚动优化(multi-objective rolling optimization,MRO)控制方法对风氢系统的电解槽进行控制。首先,对风电功率进行预测,并对预测值进行一阶差分运算,并根据结果确定系统电解槽的运行机组数量。然后,采用多目标适应度函数对电解槽进行滚动优化,平衡各电解槽的运行时间、启停次数、待机时间以及波动功率。最后,根据实时功率顺序分配电解槽的功率和运行状态。为验证所提控制方法的有效性,将所提方法与简单启停(simple start-stop,SS)控制策略和阵列轮值(array rotation,AR)控制策略相比。仿真结果表明,所提方法的电解槽具有更低的启停次数和更高的产氢量,可以有效提高风氢系统的经济性。
