Power flow control and peak point tracking are significant in grid-tied renewable energy systems to improve power factor and efficient energy extraction. In this paper, the design of robust controllers for the power electronic converters of the grid-connected PEM fuel cell with thermal modeling is deliberated. Further, the transfer function model of the power electronic converters is derived by considering uncertainty in system parameters. A low complexity algorithm is used to design the converter parameters from the uncertainty range. The proposed robust automated power flow controller is designed to minimize the objective function using a genetic algorithm in the quantitative feedback theory framework. The robustness and disturbance rejection with enhanced transient response of the proposed controller is evaluated under heavy and light loading conditions, DC-link voltage and grid voltage distortion uncertainty conditions are investigated. Finally, comprehensive simulations are performed to validate the proposed controller performance with the existing controller under the above-mentioned uncertainty conditions.

潮流控制和峰值跟踪在并网可再生能源系统中非常重要，可以提高功率因数并有效地提取能量。本文研究了具有热模型的并网PEM燃料电池功率电子转换器的鲁棒控制器设计。此外，通过考虑系统参数的不确定性来导出功率电子转换器的传递函数模型。使用低复杂度算法从不确定性范围设计转换器参数。提出的鲁棒性自动潮流控制器设计为在定量反馈理论框架中使用遗传算法最小化目标函数。在重载和轻载条件下，评估了所提出控制器的鲁棒性和抗干扰性，并增强了瞬态响应，研究了直流母线电压和电网电压畸变不确定性条件。最后，在上述不确定性条件下，使用现有控制器进行综合仿真以验证所提出的控制器性能。