Big Data-driven Monitoring of Relay Protection Status in Power Systems
Due to the poor maximum mismatch situation of existing monitoring methods,this study focuses on big data-driven monitoring of relay protection status in power systems.By using camera terminal devices to collect real-time opera-tional data and image information of the power system,image feature extraction is performed on the original images.Build an automatic monitoring model for relay protection status and assign a unique identifier to each component in the power system relay protection equipment.Based on the chain relationship between relay protection data,perform XOR logic judgment on relay protection data to complete monitoring.The experimental results show that with 100 iterations,the mismatch of the experimental group is 10k.At the same time,by calculating its mean mismatch value to be the smallest,it has better performance in the state monitoring process and improves the operational stability of the power system.
big data-drivenpower systemrelay protectionstatus monitoring