基于无模型自适应与滑模控制相结合的水电机组优化控制

水电站作为优质的调峰调频电源,对保证电网安全稳定运行发挥着重要的作用,这对水电机组调节性能提出了更高要求。为提高水轮机调节系统的控制品质,在非线性水轮机模型的基础上,根据动态线性化理论以及Lipschitz条件,提出无模型自适应控制(MFAC)与离散滑模趋近律控制相结合的水电机组调节系统优化控制策略,并利用天牛须算法(BAS)结合误差积分准则函数,实现控制参数优化。仿真结果表明在不同工况下,相比于最优PID控制器,MFAC滑模控制器系统具有超调量小,上升时间短的优点,而BAS算法参数寻优效果优秀,计算耗费时间短,具有较好的应用前景。

Optimal Control of Hydropower Units Based on Combination of Model-free Adaptive and Sliding Mode Control

As a high-quality power source undertaking peak load and frequency regulation,hydropower stations play an important role in ensuring the safe and stable operation of the power grid,which expects a lot from the regulation performance of hydropower units.In order to improve the control quality of the hydro-turbine regulating system,based on the nonlinear model of hydro-turbine,a model-free adaptive control(MFAC)combined with discrete sliding mode approaching law control for hydropower unit regulation is proposed according to the dynamic linearization theory and Lipschitz condition.The parameter optimization of the controller of the hydropower unit is realized by using the beetle antennae search(BAS)combined with the error integral criterion function.The simulation results show that the MFAC sliding mode controller has advantages like small overshoot and short rise time compared with the optimal PID controller under different operating conditions.Meanwhile,the BAS algorithm has excellent parameter optimization effect,short calculation time and a good application prospect.