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State feedback control aware stochastic transmitting latency in cyber-physical power system

机译:网络物理电源系统中状态反馈控制感知的随机传输等待时间

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Distributed sensor networks with a great number of sensors realize information gathering, transmitting, and controlling, which will greatly improve the reliability and efficiency of industrial infrastructure systems, such as cyber-physical power system. Cyber-physical power system is one of the heuristic systems tightly coupled by a continuous-time electrical power system and a discrete-time information system. The transmitting latency, packets disorder, or loss will fail system convergence, even unstable under disturbance. This article studies the effect of long latency on cyber-physical power system frequency stability based on network control theory and establishes a heuristic model to express the continuous-time distributed generation system and the discrete-time distributed sensor network. A new state feedback controller is designed based on the stochastic optimal control theory to solve the micro-grid’s frequency stability problem with stochastic latency disturbance. Finally, we have conducted an extensive evaluation study using a real distributed generation micro-grid system. The simulation results show that the new controller reduces the influence of distributed sensor networks transmitting latency on the frequency stability, and the frequency dynamic process in the distributed generation micro-grid has smaller overshoot and obtains faster dynamic response speed.
机译:具有大量传感器的分布式传感器网络可实现信息的收集,传输和控制,这将大大提高工业基础设施系统(如网络物理电力系统)的可靠性和效率。网络物理电力系统是由连续时间电力系统和离散时间信息系统紧密耦合的启发式系统之一。传输延迟,数据包混乱或丢失将使系统收敛失败,甚至在受到干扰时也会变得不稳定。本文基于网络控制理论研究了长时延对网络物理电力系统频率稳定性的影响,并建立了启发式模型来表示连续时间分布式发电系统和离散时间分布式传感器网络。基于随机最优控制理论,设计了一种新的状态反馈控制器,以解决带有随机等待时间扰动的微电网的频率稳定性问题。最后,我们使用真实的分布式发电微电网系统进行了广泛的评估研究。仿真结果表明,该新型控制器减小了分布式传感器网络传输时延对频率稳定性的影响,分布式发电微电网中的频率动态过程具有较小的过冲量,并具有较快的动态响应速度。

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