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MAS Based Distributed Automatic Generation Control for Cyber-Physical Microgrid System

机译:基于MAS的网络物理微电网系统分布式自动发电控制

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The microgrid is a typical cyber-physical microgrid system(CPMS). The physical unconventional distributed generators(DGs) are intermittent and inverter-interfaced which makes them very different to control. The cyber components,such as the embedded computer and communication network,are equipped with DGs, to process and transmit the necessary information for the controllers. In order to ensure system-wide observability, controllability and stabilization for the microgrid,the cyber and physical component need to be integrated. For the physical component of CPMS, the droop-control method is popular as it can be applied in both modes of operation to improve the grid transient performance. Traditional droop control methods have the drawback of the inherent trade-off between power sharing and voltage and frequency regulation. In this paper, the global information(such as the average voltage and the output active power of the microgrid and so on) are acquired distributedly based on multi-agent system(MAS). Based on the global information from cyber components of CPMS, automatic generation control(AGC) and automatic voltage control(AVC)are proposed to deal with the drawback of traditional droop control. Simulation studies in PSCAD demonstrate the effectiveness of the proposed control methods.
机译:微电网是典型的网络物理微电网系统(CPMS)。物理非常规分布式发电机(DGs)是间歇性的并且采用变频器接口,这使得它们在控制上有很大的不同。诸如嵌入式计算机和通信网络之类的网络组件都配备了DG,以处理和传输控制器所需的信息。为了确保微电网的全系统可观察性,可控制性和稳定性,需要将网络和物理组件集成在一起。对于CPMS的物理组件,下垂控制方法很流行,因为它可以应用在两种操作模式中,以改善电网暂态性能。传统的下垂控制方法具有功率共享与电压和频率调节之间固有的权衡的缺点。本文基于多智能体系统(MAS)分布式获取全局信息(如微电网的平均电压和输出有功功率等)。基于来自CPMS网络组件的全球信息,提出了自动发电控制(AGC)和自动电压控制(AVC)来解决传统的下垂控制的缺点。 PSCAD中的仿真研究证明了所提出的控制方法的有效性。

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