An integrated model-based control and scheduling scheme is proposed for the load frequency control (LFC) of large-scale power systems under the distributed structure and uncertainties. Specifically, the limited bandwidth constraint is considered when state observation is exchanged over shared communication networks. Each area controller uses the explicit models of its own and neighboring areas to predict state observations when the actual one is not available. At each transmission instant, the state observation of the scheduled area is broadcasted to the relevant areas and the model-based controllers are partially updated. By properly scheduling the transmission sequence and intervals, the stability of the power system can be guaranteed with a substantial reduction of the bandwidth usage and this is proven by performing a thorough theoretical analysis. Simulation results of a four-area power system verify that the proposed distributed model-based control scheme integrated with a proper scheduling strategy can greatly enhance the performance and the resiliency to parameter uncertainty in large-scale power systems.

中文翻译：

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有限带宽网络上智能电网负载频率调节的基于分布式模型的控制和调度


针对分布式结构和不确定性下的大规模电力系统的负荷频率控制（LFC），提出了一种基于模型的集成控制和调度方案。具体来说，当通过共享通信网络交换状态观察时，考虑有限的带宽约束。当实际观测值不可用时，每个区域控制器都使用其自身和邻近区域的显式模型来预测状态观测值。在每个传输时刻，调度区域的状态观察被广播到相关区域，并且基于模型的控制器被部分更新。通过正确调度传输顺序和间隔，可以在大幅减少带宽使用的情况下保证电力系统的稳定性，这一点通过进行彻底的理论分析得到了证明。四区域电力系统的仿真结果验证了所提出的基于分布式模型的控制方案与适当的调度策略相结合可以极大地提高大规模电力系统的性能和对参数不确定性的弹性。