A Pattern Recognition Approach for Detecting Power Islands Using Transient Signals—Part I: Design and Implementation

作者: N. W. A. Lidula , A. D. Rajapakse

DOI: 10.1109/TPWRD.2010.2053724

关键词: Feature vectorDistributed generationDiscrete wavelet transformFeature extractionPattern recognitionArtificial intelligenceVoltageEngineeringElectrical networkIslandingSignal processing

摘要: A novel, pattern-recognition-based approach for fast detection of power islands in a distribution network is investigated. The proposed method utilizes transient signals generated during an islanding event to detect the formation island. decision-tree classifier trained categorize generating events as “islanding” or “non-islanding.” feature vectors required classification were extracted from current and voltage through discrete wavelet transform. technique tested on medium-voltage system with multiple distributed generators. results indicate that this can accurately very fast.

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