The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8% accuracy, 99.89% security, 98.11% reliability, zero non detection zone and detection time of 49 ms.

本文提出了一种微相量测量单元（μPMU）微电网中非计划孤岛检测方法。μPMU 利用离散分数阶傅里叶变换的多域性质，从测量的电压数据中提取某些特征，并将其馈送到随机森林分类器模型中，以做出孤岛或故障发生的决策。该方法在 IEEE 34 节点分布网络上进行了测试。结果表明，该方法稳健、可靠、具有成本效益并提高了态势感知能力。所提出的方法具有99.8%的准确率、99.89%的安全性、98.11%的可靠性、零非检测区和49 ms的检测时间。