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A robust interval economic dispatch model accommodating large-scale wind power generation with consideration of price-based demand response

机译:一种稳健的间隔经济调度模型,考虑到基于价格的需求响应,可容纳大型风力发电

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Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.
机译:需求响应可以通过利用需求副资源参与电力系统调度来促进大规模风力的住宿。因为忽略了风力不确定性,并且在考虑需求响应的现有风力调度模型中难以准确地获得风力电力预测误差的概率模型,因此无法准确地评估风能不确定性对需求响应载荷调节的影响。通过利用可以方便获得的风力电力预测的间隔信息​​,可以使用稳健的间隔优化方法来实现动态需求响应负载调节和不确定风能住宿的联合优化。因此,推出了以常规的稳健间隔动态经济调度模型引入了基于价格的需求响应模型,开发了一种用于考虑基于价格的需求响应的大型风电,这是一种快速的鲁棒间隔经济调度模型及其解决方法本文提出了基于线性编程。提出了连接到风电场的IEEE 26发生器可靠性测试系统的仿真研究,以验证所提出的模型的有效性和优势。

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