要:针对含电动汽车的综合能源系统(integrated energy system,IES)需要考虑可再生能源和需求侧的随机性和不确定性的问题,设计了一种基于经济模型预测控制(economic model predictive control,EMPC)的分层实时优化调度策略(hierarchical...要:针对含电动汽车的综合能源系统(integrated energy system,IES)需要考虑可再生能源和需求侧的随机性和不确定性的问题,设计了一种基于经济模型预测控制(economic model predictive control,EMPC)的分层实时优化调度策略(hierarchical real-time optimization strategy,HRTO),将整个系统的运行优化问题分为日前滚动优化,实时滚动优化和跟踪控制三个子问题。建立基于经济模型预测控制的日前优化策略,在保证经济性的同时确保启动的运行单元能够满足用户的需求,通过实时优化层优化整个IES的最优稳态操作点,设计跟踪模型预测控制器,跟踪上层传递的最优参考值。同时该策略通过引入电动汽车参与综合能源系统优化调度,充分发挥电动汽车的储能特性和灵活性,实现了电动汽车和各能源系统的协同优化。仿真分析表明,所提出的HRTO可以实现对电力负荷和建筑物温度设定点的跟踪。展开更多
The optimal tracking performance for integrator and dead time plant in the case where plant uncertainty and control energy constraints are to be considered jointly is inrestigated. Firstly, an average cost function of...The optimal tracking performance for integrator and dead time plant in the case where plant uncertainty and control energy constraints are to be considered jointly is inrestigated. Firstly, an average cost function of the tracking error and the plant input energy over a class of stochastic model errors are defined. Then, we obtain an internal model controller design method that minimizes the average performance and further studies optimal tracking performance for integrator and dead time plant in the simultaneous presence of plant uncertainty and control energy constraint. The results can be used to evaluate optimal tracking performance and control energy in practical designs.展开更多
文摘要:针对含电动汽车的综合能源系统(integrated energy system,IES)需要考虑可再生能源和需求侧的随机性和不确定性的问题,设计了一种基于经济模型预测控制(economic model predictive control,EMPC)的分层实时优化调度策略(hierarchical real-time optimization strategy,HRTO),将整个系统的运行优化问题分为日前滚动优化,实时滚动优化和跟踪控制三个子问题。建立基于经济模型预测控制的日前优化策略,在保证经济性的同时确保启动的运行单元能够满足用户的需求,通过实时优化层优化整个IES的最优稳态操作点,设计跟踪模型预测控制器,跟踪上层传递的最优参考值。同时该策略通过引入电动汽车参与综合能源系统优化调度,充分发挥电动汽车的储能特性和灵活性,实现了电动汽车和各能源系统的协同优化。仿真分析表明,所提出的HRTO可以实现对电力负荷和建筑物温度设定点的跟踪。
基金the High Technology Research and Development (863) Program (2003AA517020).
文摘The optimal tracking performance for integrator and dead time plant in the case where plant uncertainty and control energy constraints are to be considered jointly is inrestigated. Firstly, an average cost function of the tracking error and the plant input energy over a class of stochastic model errors are defined. Then, we obtain an internal model controller design method that minimizes the average performance and further studies optimal tracking performance for integrator and dead time plant in the simultaneous presence of plant uncertainty and control energy constraint. The results can be used to evaluate optimal tracking performance and control energy in practical designs.