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Model predictive control in dynamic economic dispatch using Weibull distribution

机译:基于Weibull分布的动态经济调度中的模型预测控制

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This paper develops dynamic economic dispatch (DED) using model predictive control (MPC) based on Weibull probabilistic distribution function (PDF). Firstly we performed economic dispatch (ED) based onWeibull PDF.We considered the probabilistic cost about over-estimated and under-estimated cost of wind power by using Weibull PDF. Secondly we implemented DED formulated in a MPC framework using the maximum wind power capability from the ED results since ED does not consider the ramp rate constraint. By using dispatch error cost, we could consider the current status of reliable generation by using the proposed MPC method. It turns out that the DED using MPC method is very effective in coping with intermittent resource such as wind variability.
机译:本文基于Weibull概率分布函数(PDF),使用模型预测控制(MPC)开发动态经济调度(DED)。首先,我们基于Weibull PDF进行经济调度(ED)。我们使用Weibull PDF考虑了高估和低估风能成本的概率成本。其次,由于ED不考虑斜坡率约束,因此我们使用了ED结果中的最大风力发电能力,在MPC框架中实施了DED。通过使用调度错误成本,我们可以使用提出的MPC方法考虑可靠发电的当前状态。事实证明,使用MPC方法的DED在应对间歇性资源(例如风变率)方面非常有效。

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