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Relay Protection Debugging and Four-Party Protection

This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and pre-diction model for. This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and pre-diction model for. To achieve information sharing and interoperability among intelligent electrical equipment in intelligent substations, the author proposes research on relay protection and security technology for the expansion project of intelligent substations. And ensure the normal. The invention discloses a relay protection debugging system which comprises a man-machine interaction module, an SCD analysis module, a communication locking module, a configuration checking module, a 1 st signal interface module for accessing and protecting an MMS network port, a 2 nd signal.

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