基于改进粒子群算法的H_∞次优控制在PEMFC混合发电系统中的应用  

H_∞ suboptimal control for proton exchange membrane fuel cell(PEMFC)hybrid power generation system based on modified particle swarm optimization

作　　者：李奇[1] 陈维荣[1] 刘述奎 程站立[1] 刘小强[1] 

机构地区：[1]西南交通大学电气工程学院,四川成都610031 [2]成都电业局,四川成都610021

出　　处：《电力系统保护与控制》2010年第21期126-131,共6页Power System Protection and Control

基　　金：教育部科学技术研究重点项目(109160);国家重点实验室自主研究课题(重点)(2008TPL_Z01)

摘　　要：为了改善粒子群算法(PSO)的全局搜索能力,通过提高平衡点多样性提出一种改进粒子群算法(MPSO)。结合H∞次优控制方法,将加权函数的选取转化成优化问题,并将该方法应用于质子交换膜燃料电池(PEMFC)混合发电系统的过氧比(OER)控制。动态仿真结果证明,在大负载电流变化、参数摄动、环境干扰和量测噪声影响下该方法能够维持系统OER在最优值附近,保证了系统的稳定运行。同时与其他控制方法比较,证明该方法具有较好的抗扰性和鲁棒稳定性。In order to improve the ability of global search of particle swarm optimization（PSO）,a modified particle swarm optimization（M PSO） i s proposed by increasing the diversity of equilibrium point.A H∞ suboptimal control method is combined with MPSO,i n which the selection of weighting functions is expressed as an optimization problem.A nd the proposed method is applied to control the oxygen excess ratio（O ER）o f proton exchange membrane fuel cell（PEMFC） hybrid power generation system.The dynamic simulation results demonstrate that the method can maintain the OER to be close to the optimal value and guarantee stable operation of the system under large variation of load current,p arameter perturbation,environmental disturbance and measurement noise.The comprehensive comparison with other control methods verifies that the proposed method has better disturbed resistance and robust stability.

关 键 词：质子交换膜燃料电池 混合发电系统 改进粒子群算法 H∞次优控制 过氧比 

分 类 号：TM911.4[电气工程—电力电子与电力传动]