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Cyber‐physical cooperative control strategy for islanded micro‐grid considering communication interruption

机译:考虑通信中断的孤岛微电网网络物理协同控制策略

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摘要

In this paper, a cyber-physical cooperative control strategy considering communication interruption is proposed to improve the control effect on output voltages and frequency obtained by droop control of distributed energy resources (DERs). The control structure consists of the physical and cyber layers. And in the two layers, the interruption occurs mostly in sensors and data aggregators. To solve the problem of interruption among data aggregators, a path-planning method combined with improved Dijkstra algorithm (IDA) and improved genetic algorithm (IGA) is proposed in the cyber layer. To solve the problem of interruption among sensors, a predictive compensation method combined with extreme learning machine (ELM) and model predictive control (MPC) is proposed in the physical layer. Meanwhile, so as to improve the control effect of DERs, a virtual leader-following consensus control (VLFCC) method combined with double sliding mode control (SMC) is first proposed in cyber layer and then applied to the physical layer to accomplish the secondary control on DERs. Finally, the simulation results show that under the condition of communication interruption, the output voltage and frequency of each DER can be adjusted to their respective reference values through the proposed cooperative control strategy.
机译:本文提出了一种考虑通信中断的网络物理协同控制策略,以提高对分布式能源下垂控制获得的输出电压和频率的控制效果。控制结构由物理层和网络层组成。在这两层中,中断主要发生在传感器和数据聚合器中。为了解决数据聚合器之间的中断问题,在网络层中提出了一种结合改进的Dijkstra算法(IDA)和改进的遗传算法(IGA)的路径规划方法。为了解决传感器之间的中断问题,在物理层中提出了一种结合极限学习机(ELM)和模型预测控制(MPC)的预测补偿方法。同时,为了提高DER的控制效果,首先在网络层提出了一种虚拟的领导跟随共识控制(VLFCC)结合双滑模控制(SMC)的方法,然后将其应用于物理层以完成二次控制。在DER上。最后,仿真结果表明,在通信中断的情况下,通过所提出的协同控制策略,可以将每个DER的输出电压和频率调整为各自的参考值。

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