刘强, 李奇, 王天宏, 蔡良东, 陈维荣. 基于Salp群算法的多堆燃料电池系统效率优化控制方法[J]. 中国电机工程学报, 2021, 41(22): 7730-7739. DOI: 10.13334/j.0258-8013.pcsee.202312
引用本文: 刘强, 李奇, 王天宏, 蔡良东, 陈维荣. 基于Salp群算法的多堆燃料电池系统效率优化控制方法[J]. 中国电机工程学报, 2021, 41(22): 7730-7739. DOI: 10.13334/j.0258-8013.pcsee.202312
LIU Qiang, LI Qi, WANG Tianhong, CAI Liangdong, CHEN Weirong. Efficiency Optimal Control Method of Multi-stack Fuel Cell System Based on Salp Swarm Algorithm[J]. Proceedings of the CSEE, 2021, 41(22): 7730-7739. DOI: 10.13334/j.0258-8013.pcsee.202312
Citation: LIU Qiang, LI Qi, WANG Tianhong, CAI Liangdong, CHEN Weirong. Efficiency Optimal Control Method of Multi-stack Fuel Cell System Based on Salp Swarm Algorithm[J]. Proceedings of the CSEE, 2021, 41(22): 7730-7739. DOI: 10.13334/j.0258-8013.pcsee.202312

基于Salp群算法的多堆燃料电池系统效率优化控制方法

Efficiency Optimal Control Method of Multi-stack Fuel Cell System Based on Salp Swarm Algorithm

  • 摘要: 为提高多堆燃料电池系统(multi-stack fuel cell system,MFCS)整体效率和维持母线电压的稳定,该文提出一种基于Salp群算法(Salp swarm algorithm,SSA)的MFCS效率优化控制方法。利用SSA算法的快速搜索能力实时优化系统整体效率,实现多个燃料电池间功率的合理分配,并通过下垂控制策略维持母线电压长期稳定。最后,在RT-LAB上搭建硬件在环(hardware-in-the-loop,HIL)仿真平台,与平均功率分配方法和Daisy链式功率分配方法进行对比分析,从功率、效率、容错能力三方面做实验测试。结果表明,所提控制方法既可以保证MFCS整体效率实时优化,稳定母线电压,也可以增强系统容错性,减少MFCS运行成本且能提高燃料电池耐久性和抗扰动能力。

     

    Abstract: In order to improve the overall efficiency of multi-stack fuel cell system (MFCS) and maintain the stability of the bus voltage, a MFCS efficiency optimal control method based on the Salp swarm algorithm (SSA) was proposed in this paper. The method optimized the overall efficiency of the system in real time through the fast search capability of SSA to realize the reasonable distribution of power among multiple fuel cells. Then, it maintained the long-term stability of the bus voltage through the droop control strategy. Finally, through the hardware-in-the-loop (HIL) simulation platform built on RT-LAB, the method was compared with the average power distribution method and the Daisy chain power distribution method. The experimental tests were conducted in terms of power, efficiency and fault tolerance. The results show that the SSA optimization algorithm and droop control strategy can ensure the real-time optimization of the overall efficiency of MFCS and stabilize the bus voltage.It can also enhance the fault tolerance of the system and reduce the operating cost of MFCS, which is beneficial to improve the durability and anti-disturbance ability of the fuel cell.

     

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