基于大数据的智能变电站二次状态监测系统研究

Research on Secondary State Monitoring System in Smart Substation Based on Big Data

摘要:

在传统变电站往智能变电站这一过渡过程中，随着变电站网络结构改变所带来的监测难点体现在难以在智 能变电站二次系统状态监测的庞大数据库中，进行有效信息的高效提取以及对应故障定位与溯源。在此背景下，首 先探讨学习变电站网络架构的改变; 其次在智能变电站二次状态监测系统的基础上分析了其监测概念以及监测信 号; 最后为了解决当前智能变电站海量数据的处理问题，分析总结基于 Hadoop 数据处理平台的优势以及大数据在智 能变电站中的应用发展。

Abstract:

In the process of transition from traditional substation to smart substation，the monitoring difficulties brought by the change of substation network structure are reflected in the difficulty of efficient extraction of effective information and corresponding fault location and traceability in the huge database of secondary system condition monitoring in smart substation． Under this background，firstly，the change of substation network structure is discussed as well as the intelligence． Secondly， based on substation secondary condition monitoring system，the concept of monitoring and monitoring signals are analyzed． Finally，in order to solve the problem of processing massive data in smart substation，the advantages of Hadoop data processing platform，and the application and development of big data in smart substation are analyzed and summarized．