A Gain Scheduling Control Framework for Mitigation of Time Varying Network Latency in Autonomous AC Microgrids

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2024-10-02 DOI:10.1109/TII.2024.3452235
Amit Mallick;Jatin Kumar Pradhan;Rosy Pradhan;K. Sujita Kumar Achary;Suman Rath;Arijit Guha
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Abstract

AC microgrids, being cyber-physical systems, rely heavily on communication networks to achieve their control objectives. However, the possibility of communication delays due to protocol-based errors, external noise addition, etc., raises suspicion on the reliability of communication infrastructure. This, in turn, makes the control architecture of the microgrid look complex and vulnerable. To address this problem, this work designs a consensus-based distributed secondary controller within the hierarchical control structure to achieve improved voltage and frequency regulation along with active and reactive power sharing while accounting for time-varying communication delays. Also, this work proposes a gain scheduling control in the secondary control that can effectively reduce the effects of communication delay over the performance of the hierarchical control structure. Our results show that this can efficiently eliminate system vulnerability to large values of time-varying delays. The efficacy of the proposed controller is also investigated in real-time with the help of a hardware-in-loop (HIL) setup.
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缓解自主交流微电网时变网络延迟的增益调度控制框架
交流微电网作为信息物理系统,在很大程度上依赖于通信网络来实现其控制目标。然而,由于基于协议的错误、外部噪声的增加等原因,通信延迟的可能性引起了对通信基础设施可靠性的怀疑。这反过来又使微电网的控制体系结构看起来复杂而脆弱。为了解决这个问题,本工作在分层控制结构中设计了一个基于共识的分布式二次控制器,以实现改进的电压和频率调节以及有功和无功共享,同时考虑时变通信延迟。在二级控制中引入增益调度控制,可以有效降低通信延迟对分层控制结构性能的影响。我们的研究结果表明,这种方法可以有效地消除系统对大时变延迟的脆弱性。在硬件在环(HIL)设置的帮助下,还实时研究了所提出的控制器的有效性。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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