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Robust Reactive Power Optimization and Voltage Control Method for Active Distribution Networks via Dual Time-scale Coordination

机译:有源电路的鲁棒无功优化和电压控制方法   通过双时间尺度协调的配电网络

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摘要

In distribution networks, there are slow controlling devices and fastcontrolling devices for Volt-VAR regulation. These slow controlling devices,such as capacitors or voltage regulators, cannot be operated frequently andshould be scheduled tens of minutes ahead (Hereafter named as slow control).Since of the uncertainties in predicting the load and distributed generation,the voltage violations cannot be eliminated by fast controlling devices withimproper schedule of the slow controlling devices. In this paper we proposedual time-scale coordination for the Volt-VAR control scheme, corresponding toslow and fast control. In the case of slow control, a robust voltage andreactive power optimization model is developed. This guarantees that subsequentfast controls can maintain the system's voltage security if the uncertainparameters vary within predefined limits. This nonconvex optimization problemis relaxed to a mix integer second order conic problem, and the dual form ofits sub-problem is also derived. Then a column-and-constraint generationalgorithm was used to solve the robust convexified model. A conventionaldeterministic optimization model can be used to determine the fast controlmechanism. Numerical tests were conducted on a real distribution feeder inChina, a balanced IEEE 69-bus and unbalanced 123-bus benchmark distributionnetworks. The simulation results show that solving the deterministic model isnot always feasible and voltage violation may occur. The robust model was shownto be effective with respect to all possible scenarios in the uncertainty set,with little compromise in terms of network losses.
机译:在配电网络中,有用于Volt-VAR调节的慢速控制设备和快速控制设备。这些慢速控制设备(例如电容器或稳压器)不能频繁操作,应提前几十分钟进行计划(以下称为慢速控制)。由于在预测负载和分布式发电方面存在不确定性,因此不能消除电压违规快速控制设备,而慢速控制设备的时间表不正确。在本文中,我们提出了Volt-VAR控制方案的时标协调,对应于慢速控制和快速控制。在慢速控制的情况下,建立了鲁棒的电压和无功优化模型。如果不确定参数在预定义范围内变化,这可以确保后续的快速控制可以维持系统的电压安全性。该非凸优化问题被简化为混合整数二阶圆锥问题,并且还导出了其子问题的对偶形式。然后使用列和约束生成算法求解鲁棒凸模型。可以使用常规的确定性优化模型来确定快速控制机制。在中国的实际配电馈线,平衡的IEEE 69总线和不平衡的123总线基准配电网络上进行了数值测试。仿真结果表明,求解确定性模型并不总是可行的,并且可能发生电压违规。鲁棒模型被证明对于不确定性集中的所有可能情况都是有效的,并且在网络损失方面几乎没有妥协。

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