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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:考虑价格响应的适应大型风力发电的鲁棒区间经济调度模型

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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侧资源参与电力系统调度来促进大规模的风电适应。由于忽略了风电不确定性,并且在考虑需求响应的现有风电调度模型中难以准确获得风电预测误差的概率模型,因此无法准确评估风电不确定性对需求响应负荷调节的影响。 。通过利用可以方便获得的风电预测的间隔信息​​,鲁棒的区间优化方法可以实现动态需求响应负荷调节与不确定风电适应的联合优化。因此,在传统的鲁棒区间动态经济调度模型中引入了基于价格的需求响应模型,并考虑了基于价格的需求响应,提出了一种适应大型风电的提前小时鲁棒区间经济调度模型,并提出了其求解方法。本文提出了一种基于线性规划的方法。提出了对与风电场连接的IEEE 26发电机可靠性测试系统的仿真研究,以验证所提出模型的有效性和优势。

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