基于果蝇优化算法的水轮发电机组PID参数优化

Optimal PID Governor Tuning of Hydraulic Turbine Generators with Drosophila Optimization

水轮机组的稳定运行关系着整个电网的稳定与安全,运行中随着各个参数的不断变化,水轮机组工况也随之不同。现在的水电厂普遍采用的是固定参数PID控制,无法适应参数的变化带来的影响。因此,对水轮发电机组PID参数进行优化是十分必要的。果蝇优化算法源于对果蝇觅食行为的模拟,是一类新的全局优化进化算法。本文针对水头对水电机组带来的工况变化,采用果蝇优化算法对PID控制器的参数进行优化,通过在simulink中进行动态仿真验证了此方法的可行性。

The stable operation of the power plant is related to the safety of the entire grid. With the changing of the parameters, the hydraulic turbine works under different running conditions. Because of the fixed parameters, tra- ditional PID control is unable to adapt to the impact of parameter changes. Therefore, to optimize the PID parameters of turbine units is necessary. Fruit fly optimization algorithm is derived from the simulation of fruit fly foraging behav- ior, which is a kind of new global optimization evolutionary algorithm. In the paper, the parameters of PID controller are optimized by the fruit fly optimization algorithm. Finally, the rationality and feasibility of this method is validated by simulink.