基于模型预测控制的水电站系统运行控制策略

Operation control strategy of hydropower station system based onmodel predictive control

模型预测控制是一种有效的水电站系统运行控制策略,为了制定开环最优控制策略,使水电站的水位保持在特定范围内,提出了基于模型预测控制的水电站系统运行控制策略系统模型。为了达到最佳和最有效的性能,对模型预测控制参数进行调整。文中确定了对水电系统进行模型预测控制的权重参数和预测视界长度,对最优控制问题权重参数的几个测试集和不同的预测视界长度进行了仿真和比较。结果表明,使用预测视界长度大于7天的测试集性能最佳,下游流量的变化平稳,可为水电站系统运行控制提供数据支持。

Model predictive control is an effective system operation control strategy for hydropower station.In order to develop an open-loop optimal control strategy to keep the water level of hydropower station within a specific range,a system model based on model predictive control for hydropower station system operation control strategy was proposed.At the same time,the model predictive control parameters are adjusted to achieve the best and most effective performance.In this paper,the weight parameters and the length of the prediction layer are determined.Several test sets of the weight parameters of the optimal control problem and different length of the prediction layer are simulated and compared.The results show that the test set with the predicted horizon length longer than 7 days has the best performance,and the downstream flow changes smoothly,which can provide data support for the operation control of hydropower station system.