Research on Online Monitoring and Fault Diagnosis Technology for Substation Power Supply
This paper aims to delve into the technology of online monitoring and fault diagnosis for substation power supply to enhance the reliability and safety of power systems.To achieve this goal,advanced sensor deployment and data collection methods were employed,coupled with machine learning algorithms for fault diagnosis.Through a performance analysis of the system,it was observed that the proposed online monitoring and fault diagnosis technology demonstrated significant effectiveness in practical power systems,enabling timely and accurate monitoring of power supply states and diagnosis of potential faults.This provides an advanced technological means for the operation and management of power systems,substantially contributing to the improvement of system manageability and maintainability.
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