Substation Power Equipment Abnormal State Detection System Based on Low Delay Communication
This paper proposes a substation power equipment anomaly detection system based on low-latency communication.The system utilizes an STM32H743 microcontroller for data acquisition and employs an improved isolation forest algorithm along with multi-domain feature fusion for anomaly detection and analysis.It also incorporates an expert system for fault diagnosis and maintenance decision-making.Empirical studies conducted at a 110 kV substation demonstrate that the system can accurately and promptly identify various anomalies in equipment such as main transformers and high-voltage switchgear.The overall performance is excellent,providing strong support for the safe and stable operation of substations.
万方数据
维普
