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Distributed wide-area control of power system oscillations under communication and actuation constraints

机译:在通信和驱动约束下的电力系统振荡的分布式广域控制

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In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber–physical constraints — namely, communication constraints that lead to sparsification of the underlying communication network, and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art, distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast, the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another, so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine, 140-bus model for the Northeast Power Coordinating Council.
机译:在本文中,提出了一种分布式模型预测控制设计,用于电力系统在两个关键的网络物理约束条件下的区域间振荡阻尼,即,导致底层通信网络稀疏化的通信约束,以及遵守饱和极限的致动约束。发电机控制器。在当前的最新技术中,电力系统中的分布式控制器是在固定通信拓扑上执行的,该固定通信拓扑通常与传入干扰信号的大小和位置无关。这通常导致次优的闭环性能。相反,在干扰事件之后,将根据发电机状态与该事件所激发的主要振荡模式的事件特定相关性,实时选择所建议控制器的通信拓扑。由于这些相关性在一个事件和另一个事件之间可能不同,因此通信拓扑的选择也可能不同。这些相关性用于识别必须交换状态信息以增强区域间模态频率的闭环阻尼的最重要的发电机组。通过在东北电力协调委员会的48机,140总线模型上的仿真显示了该策略的有效性。

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