燃料电池并网发电系统控制参数协调优化方法

COORDINATIVE OPTIMIZATION METHOD FOR CONTROL PARAMETERS OF GRID-CONNECTED FUEL CELL GENERATION SYSTEM

为提高燃料电池并网发电系统运行的小干扰稳定性,提出一种燃料电池并网发电系统控制参数全局优化方法。针对大功率质子交换膜燃料电池(PEMFC)动态特性,建立150 k W的PEMFC发电系统模型,在此基础上建立系统的小信号模型。利用特征值分析法分析确定影响系统稳定的关键参数,在充分考虑系统小干扰稳定性、阻尼比和稳定裕度协调优化情况下,利用回溯搜索算法(BSA)实现对燃料电池发电系统的关键控制参数的全局优化。

In order to improve the stability of small disturbance for grid-connected fuel cell generation system, a global optimization method of control parameters for grid-connected fuel cell generation system was proposed. According to the dynamic characteristics of high-power proton exchange membrane fuel cell （PEMFC）, the model of 150 kW PEMFC generation system was established. On this basis, the small-signal model of the system was built, and the eigenvalue analysis method was adopted to identify the key parameters affecting system stability. Considering fully the coordinative optimization for the system stability of small disturbance, damping ratio and stability margin, the global optimization of key control parameters for fuel cell generation system was achieved by backtracking search algorithm （BSA）. And the simulation results show that this method can improve the security and stability of grid-connected high power PEMFC generation system effectively.