基于增益调度模型预测控制的SOFC-GT混合动力系统温度控制

Temperature control for a SOFC-GT hybrid power system based on gain scheduling model predictive control

固体氧化物燃料电池(SOFC)因其发电效率高、环境污染小等优势得到了广泛应用。工作温度是影响SOFC寿命和性能的主要因素,为保证SOFC长期安全运行,需要将其工作温度控制在一定范围内。但SOFC具有耦合强、非线性特性显著等特点,尤其在大工况范围运行过程中温度变化显著。针对固体氧化物燃料电池-燃气轮机(SOFC-GT)混合动力系统中的SOFC温度控制系统,设计了一种基于增益调度模型预测控制的温度控制策略,以实现系统在大工况范围内变化时的SOFC工作温度调控,保证SOFC-GT混合动力系统在大工况范围内安全运行。

Solid oxide fuel cells(SOFCs)have been widely used due to their high power generation efficiency and low pollutant emissions.Working temperature is a main factor affecting the service life and performance of an SOFC.In order to ensure its long-term safe operation,it is necessary to control the working temperature within a certain range.However,SOFCs are of strong coupling and significant nonlinear characteristics,especially working under large temperature differences.A temperature control strategy based on gain scheduling model predictive control is designed for the SOFC temperature controller in a solid oxide fuel cell-gas turbine(SOFC-GT)hybrid power system.The strategy can ensure the safe operation of the SOFC-GT hybrid power system by controlling the SOFC operating temperature in a wide range of operating conditions.