基于 Hadoop 的电力大数据技术体系研究

摘要

电力系统每时每刻都在产生海量规模、种类繁多的电力数据，如何高效低成本的存储和处理它们并进行有效开发利用十分关键。对现有的电力数据进行了归类梳理，分析电力大数据的特点、来源及使用现状。介绍了以Hadoop技术为核心的大数据技术体系，给出了电力大数据技术架构，并重点分析了大数据在数据整合、数据存储和数据处理等方面的关键技术。探讨了大数据技术在电力领域的几种典型应用场景，包括新能源管理、负荷预测、检修策略优化和供电服务改善等方面。%Power systems generate massive complicate data all the time .It becomes more critical to store and process the big data efficiently ,and to make effective utilization .Firstly ,this paper classifies the existing pow‐er data ,including the characteristics ,sources and application status .Then ,it introduces the Hadoop‐based big data technology system and formulates a main architecture .Several key technologies are analyzed ,including data collecting ,storing and processing .Finally ,some typical applications of big data technology in power sec‐tor are discussed ,such as new energy management ,load forecasting ,maintenance strategy optimization and power supply service improvement .