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Minimization of distribution system losses by exploiting storage and anticipating market-driven behaviour of wind power producers

机译:通过利用存储并预测风电生产商的市场驱动行为,将配电系统的损失降至最低

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This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.
机译:本文提出了一种随机双层优化模型,该模型确定了由配电系统运营商(DSO)直接控制的储能系统的最佳调度,以实现有功功率损失的最小化,同时考虑了风力发电的利润驱动型参与。在日前和不平衡的市场中,与配电系统相连的电力生产商(WPP)。上级优化问题代表了最佳交流电潮流问题,其目的是从DSO的角度将有功功率损失降至最低,而下级优化问题则模拟了竞争性风力发电商在不确定性相关联的情况下所面临的利润最大化问题。市场价格和自己的电力生产状况。通过利用低级问题的凸性,导出了后者的Karush-Kuhn-Tucker条件,并将双级问题转换为单级优化问题。以一个带有一个WPP和一个存储设备的径向分布系统的简单案例研究来说明该方法的工作原理。

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