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大数据驱动的电力系统继电保护状态监测

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针对现有的监测方法最大失配量情况较差的问题,提出基于大数据驱动的电力系统继电保护状态监测.通过摄像头终端设备来实时采集电力系统的运行数据和图像信息,对原始图像进行图像特征提取.构建继电保护状态自动监测模型,为电力系统继电保护设备中的每个元件分配一个唯一标识.根据继电保护数据之间的连锁关系,进行继电保护数据异或逻辑判断从而完成监测.实验结果表明,在迭代次数为 100 的情况下,实验组的失配量为 10k,同时通过计算其失配量值均值最小,在状态监测过程中具有较优的性能,提升了电力系统的运行稳定性.
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

赵彦、路龙珠、崔缙

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国网电力科学研究院有限公司,江苏 南京 210000

大数据驱动 电力系统 继电保护 状态监测

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(23)