以30 kW燃气轮机发电机组为研究对象，基于MATLAB/Simulink平台搭建了微型燃气轮机发电机组各部件及系统仿真模型，研究了微型燃气轮机、发电机和电力变换装置的控制策略。考虑了电力变换过程的损耗影响，设计了微型燃气轮机发电机组的“机-网”功率匹配控制策略。研究了负荷大幅度阶跃突变时“机-电”动态变换规律和功率匹配特征，采用模糊PID控制改善了机组的动态响应特性。结果表明：燃气轮机负载从30 kW突降至15 kW的过程中，模糊PID控制体现出较好的控制性能。相比常规PID控制机组的暂态过程震荡幅度明显减小，其发电功率的稳定速度提高了24.5%，电功率的超调减小9.6%，转速变化更加平缓，透平入口温度的震荡幅度减小20.7%，机组功率因数的恢复速度提高36.0%。

Taking a 30 kW gas turbine generator set as the research object,,the simulation model of each component and system of micro gas turbine generator set was built based on the MATLAB/Simulink platform,and the control strategy of micro gas turbine,generator and power conversion device was studied.Considering the influence of loss in power conversion process,a “machinegrid” power matching control strategy of the microgas turbine generator set is designed.The “mechanicalelectrical” dynamic transformation law and power matching characteristics are studied when the load is largescale step sudden change,and the fuzzy PID control is used to improve the dynamic response characteristics of the unit.The results show that when the load of the gas turbine suddenly reduced from 30 kW to 15 kW,the fuzzy PID control shows better control performance.Compared with the conventional PID control,the transient process oscillation amplitude of the unit is significantly reduced.The stable speed of power generation has increased by 24.5%,the overshoot of electric power is reduced by 9.6%,the speed of gas turbine changes more smoothly,the oscillation of turbine inlet temperature is reduced by 20.7%,and the recovery speed of unit power factor is increased by 36.0%.

TM611.24

国家自然科学基金(51806137)； 上海市科学技术委员会项目（17DZ1201003）