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Co-Design of Distributed Model-Based Control and Event-Triggering Scheme for Load Frequency Regulation in Smart Grids

机译:智能电网负载频率调节的分布式模型控制和事件触发方案的共同设计

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In this paper, one new distributed load frequency regulation approach is proposed for smart power system operation under two specific practical constraints, including the limited communication resource and speed droop parametric uncertainty. To address these two constraints, the co-design of event-triggering communication scheme and distributed model-based controller is studied. Instead of using zero-order holders, the proposed model-based scheme is able to extend the maximum allowable time interval and thus reduce communication bandwidth usage. In the meantime, the proposed co-design scheme is able to get the model-based control parameters and event-triggering condition metrics simultaneously. This can loosen the conservation in the choice of control gains and event-triggering parameters faced by existing approaches where the control gains are fixed in prior. Comparisons on the multiple-area system confirm that this designed load frequency regulation method significantly reduces the number of required data transmissions without sacrificing the dynamic performance of the frequency and tie-line power. It is also shown that the proposed approach has great robustness to speed droop coefficient uncertainty.
机译:本文提出了一种新的分布式负载频率调节方法,用于两个特定的实际限制下的智能电力系统操作,包括有限的通信资源和速度下垂参数不确定性。为了解决这两个约束,研究了事件触发通信方案和基于分布式模型的控制器的共同设计。代替使用零阶保持器,所提出的基于模型的方案能够扩展最大允许的时间间隔,从而降低通信带宽使用。同时,所提出的共设计方案能够同时获取基于模型的控制参数和事件触发条件度量。这可以在选择控制增益和事件触发参数的选择中放松保护,这些参数在先前固定控制增益的现有方法。多区域系统上的比较确认,该设计的负载频率调节方法显着降低了所需数据传输的数量,而无需牺牲频率和扎线功率的动态性能。还表明,该方法具有巨大的稳健性来速度下垂系数不确定性。

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