Abstract Unplanned islanding of microgrids is a major hindrance in providing continuous power supply to the critical loads. The detection of these islanding instants needs to be very fast so that the distributed generators (DG) are able to take control actions in minimum time. Due to high quality data at a rapid rate, micro phasor measurement unit (μ-PMU) are becoming widely popular in distribution system and micro grids. These μ-PMUs can be leveraged for island detection. However, the working of μ-PMU is hugely dependent on communication network for data transmission which is prone to cyber-attacks. In view of the above facts, the paper proposes an intelligent island detection approach by μ-PMU with reduced chances of cyber-attack. This visualisation is furnished with a μ-PMU established on the bus of the respective DG. The obtained voltage data of these μ-PMU are to be treated further via the Fortescue-transform to calculate the sequence component angle within μ-PMU. The difference in angle existing between the positive and negative sequence components is calculated and employed for island detection and carrying out suitable measures. The proposed method is tested on the IEEE-34 node distribution network in Matlab/Simulink. The robust performance of the method is justified through various simulations.

中文翻译：

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μ-PMU 的孤岛检测方法降低了网络攻击的机会

摘要 微电网的非计划孤岛是为关键负载提供持续供电的主要障碍。这些孤岛时刻的检测需要非常快，以便分布式发电机 (DG) 能够在最短的时间内采取控制行动。由于快速获取高质量数据，微相量测量单元（μ-PMU）在配电系统和微电网中越来越受欢迎。这些 μ-PMU 可用于孤岛检测。然而，μ-PMU 的工作在很大程度上依赖于通信网络进行数据传输，容易受到网络攻击。鉴于上述事实，本文提出了一种通过 μ-PMU 的智能孤岛检测方法，以减少网络攻击的机会。该可视化配备了在相应 DG 的总线上建立的 μ-PMU。这些μ-PMU 获得的电压数据将通过Fortescue 变换进一步处理，以计算μ-PMU 内的序列分量角。计算正序分量和负序分量之间存在的角度差，并将其用于孤岛检测和执行适当的措施。所提出的方法在Matlab/Simulink 中的IEEE-34 节点分布网络上进行了测试。该方法的稳健性能通过各种模拟得到证明。所提出的方法在Matlab/Simulink 中的IEEE-34 节点分布网络上进行了测试。该方法的稳健性能通过各种模拟得到证明。所提出的方法在Matlab/Simulink 中的IEEE-34 节点分布网络上进行了测试。该方法的稳健性能通过各种模拟得到证明。