基于大数据的配电网远程监控平台的设计与实现

Design and Implementation of Distribution Network Remote Monitoring Platform Based on Big Data

文章针对配电网运行中存在的实时监控难、故障识别不准等问题,提出一种基于大数据的配电网远程监控平台。该平台集成数据采集、传输、处理以及应用等功能模块,实现配电网运行状态的全面感知和智能分析。通过搭建配电网仿真模型,验证平台性能,结果表明该平台能够实现毫秒级的实时数据处理,故障检测准确率达到98.2%,具有良好的可扩展性和健壮性,为配电网的智能化运行提供了新的解决方案。

The article proposes a big data-based remote monitoring platform for power distribution networks to tackle challenges such as real-time monitoring and inaccurate fault identification.The platform,which includes modules for data collection,transmission,processing,and application,offers comprehensive monitoring and intelligent analysis of the network’s operation.After validating the platform with a simulation model,it was found to process data in milliseconds,achieve a 98.2%accuracy rate in fault detection,and demonstrate strong scalability and robustness,offering a new solution for smart operation of power distribution networks.