固体氧化物燃料电池的模型预测VSG调频控制策略

Model Predictive VSG Frequency Modulation Control Strategy of Solid Oxide Fuel Cells

新型电力系统由于包含了大量新能源和电力电子设备,导致系统缺乏惯量支撑从而影响其频率动态特性。固体氧化物燃料电池(solid oxide fuel cell,SOFC)作为一种清洁高效稳定的电源,可为系统提供一定的惯量支撑。为了提高系统频率动态特性,提出一种SOFC转动惯量自适应模型预测虚拟同步机(virtual synchronous generator,VSG)控制策略。首先,根据同步发电机转子运动方程明确其调频机理。其次,分析频率变化率与转动惯量之间的关系从而确定合适的转动惯量自适应策略。然后,加入模型预测滚动优化,对VSG的输入有功功率进行补偿,并将修正后的有功功率前馈给SOFC,使其可以快速响应负载变化。最后,通过仿真和实验验证了所提方法对系统频率调节的有效性。

The novel power system contains a large number of new energy sources and power electronic devices,resulting in a lack of inertia support for the system and thus affecting its frequency dynamic characteristics.As a clean,efficient and stable power source,solid oxide fuel cell(SOFC)can provide a certain inertia support for the system.In order to im-prove the frequency dynamic characteristics of the system,a control strategy of SOFC rotational inertia adaptive model prediction virtual synchronous generator(VSG)is proposed.Firstly,the frequency regulation mechanism of the synchro-nous generator is clarified according to its rotor equations of motion.Secondly,the relationship between the frequency change rate and the rotational inertia is analyzed to determine the appropriate adaptive control method of the rotational inertia.Then,model prediction rolling optimization is added to compensate the input active power of the VSG,and the corrected active power is fed forward to the SOFC to make it to quickly respond to the load changes.Finally,the effec-tiveness of the proposed method for system frequency regulation is verified by simulation and experiments.