基于改进天牛须搜索算法的抽水蓄能机组调节系统优化控制

针对抽水蓄能机组调节系统PID控制器参数整定困难问题，提出了一种基于改进天牛须搜索算法的抽水蓄能机组PID控制策略。首先，构建了小波动情况下带有时滞的抽水蓄能机组调节系统的数学模型。其次，提出了一种融合自适应分数阶微积分与自适应更新步长的改进天牛须搜索算法。然后，采用改进天牛须搜索算法、天牛须搜索算法与粒子群算法，分别设计调节系统在空载与负荷情况下的PID控制器。最后，使用各个算法优化的PID控制器进行调节系统的空载频率扰动与负荷波动工况仿真实验。结果表明：所提出算法可以整定出最为合适的PID控制器参数，在不同时滞作用下调节系统均取得更好的控制效果。该研究为抽水蓄能机组调节系统PID控制器的设计提供了新思路。

Optimal control of pump-turbine unit adjusting system based on modified beetle antennae search algorithm

Aiming at the difficulty of parameter tuning of PID controller in pump-turbine unit adjusting system, a PID control method of pump-turbine unit based on modified beetle antennae search algorithm is proposed. First, the mathematical model of pump-turbine unit adjusting system with time lag under small fluctuation is constructed. Second, an improved beetle antennae search algorithm combining adaptive fractional calculus and adaptive update step size is proposed. Then, the improved beetle antennae search algorithm, beetle antennae search algorithm and particle swarm optimization algorithm are selected for designing the PID controller of adjusting system under no-load and load conditions respectively. Finally, the PID controller optimized by each algorithm is used for simulating the conditions of no-load frequency disturbance and load fluctuation of adjusting system. The results indicate that the proposed algorithm can adjust the most suitable PID controller parameters, and the control system achieves better control effect with different time lags. This study provides a new idea for the design of PID controller of pump-turbine unit adjusting system.