基于GSA-GPC水电机组预测控制

Predictive Control for Hydropower Units Based on GSA-GPC

随着风、光等可再生能源大量馈入,电网结构日趋复杂。在此背景下,水电机组将根据需要经常处于变工况运行,运行环境变得恶劣,其传统的PID控制策略显然难以实现各种复杂工况下的最优控制。为此,将广义预测控制(GPC)应用于水电机组,并基于引力搜索算法(GSA)对其参数进行优化,实现了水电机组基于GSA-GPC的自适应预测控制。仿真结果表明,相比传统的PID控制器,设计的基于GSA-GPC的自适应预测控制器在不同工况下均有优异的调节性能,实现了水电机组多工况下最优控制。

With the large amount of wind power,photovoltaic and other renewable energy have fed in,the power grid structure is becoming increasingly complex.In this context,hydropower units will often operate under variable conditions as required,and the operating environment will become harsh.Its traditional PID control strategy is obviously difficult to achieve optimal control under various complex conditions.Therefore,the generalized predictive control(GPC)is applied to hydropower units and its parameters are optimized based on gravity search algorithm(GSA)to realize the adaptive predictive control of hydropower units based on GSA-GPC.The simulation results show that,compared with the traditional PID controller,the designed adaptive predictive controller based on GSA-GPC has excellent regulation performance under different working conditions,and realizes the optimal control of hydropower units under multiple working conditions.