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Islanding detection method based on system identification

机译:基于系统识别的孤岛检测方法

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摘要

Islanding detection is a crucial technique for distributed generation (DG) system. An islanding detection method based on system identification is proposed in this study. Regarding the grid as an RLC load, a recursive least square method is used to estimate the equivalent RLC parameters. Then a logistic regression classifier is applied to determine whether DG is disconnected from the grid or not by the data sets of the estimated parameters of the system. An experiment demonstrates that the algorithm is effective and fast for detecting an islanding event.
机译:孤岛检测是分布式发电(DG)系统的一项关键技术。提出了一种基于系统辨识的孤岛检测方法。关于作为RLC负载的网格,使用递归最小二乘法来估计等效的RLC参数。然后使用逻辑回归分类器通过系统的估计参数的数据集确定DG是否与网格断开连接。实验表明,该算法有效,快速地检测出孤岛事件。

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