In smart grid, voltage control feeds back state information from sensors to controllers via wired or wireless channels to stabilize the electricity distribution. When wireless channel is applied, because of the interference among wireless sensors, scheduling is necessary for efficient and reliable data aggregations. Previous work proved that delay-tolerant Kalman filter (DTKF)-based dynamic state-aware scheduling can improve voltage stability of distributed generation system. However, in practice, the transmission of sensor data over fading channels suffers losses, and lost packets would miss the opportunity of providing state information for voltage controllers. In this work, we use retransmission to combat losses, and study the impact of retransmission on voltage control. Network-coding-based retransmission is also used to increase retransmission efficiency and reduce delays. Simulation results show that the scheduling strategies with retransmission are indeed effective in certain scenarios.

中文翻译：

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改进分布式发电系统电压控制的重传方法

在智能电网中，电压控制通过有线或无线通道将传感器的状态信息反馈给控制器，以稳定配电。当应用无线信道时，由于无线传感器之间的干扰，调度对于高效可靠的数据聚合是必要的。先前的工作证明，基于容错卡尔曼滤波器（DTKF）的动态状态感知调度可以提高分布式发电系统的电压稳定性。然而，在实践中，传感器数据在衰落信道上的传输会遭受损失，丢失的数据包将错过为电压控制器提供状态信息的机会。在这项工作中，我们使用重传来对抗损耗，并研究重传对电压控制的影响。基于网络编码的重传也用于提高重传效率和减少延迟。仿真结果表明，带重传的调度策略在某些场景下确实有效。