大数据技术在电力系统中故障诊断与预测方向的运用
The Application of Big Data Technology in Fault Diagnosisand Prediction for Power Systems
赵文禹1
作者信息
- 1. 国网上海市金山供电公司,上海 200540
- 折叠
摘要
构建稳健的电网并提供优质的服务是当前电网建设领域的核心任务.为达成这些目标,必须确保当前电力系统中的所有电力设备均维持在安全且稳定的运行状态.但是,随着电力系统规模的发展,传统的故障诊断与预测已经难以适应复杂的电力系统环境,因此利用大数据技术来进行电力系统的故障诊断和预测,才是正确的研究方向.
Abstract
Building a robust power grid and providing high-quality services are the core tasks in the current field of power grid construction.To ensure these goals are met,we must ensure that all power equipment in the current power system remains in a safe and stable operating condition.However,with the development of power system scale,traditional fault diagnosis and prediction methods have become difficult to adapt to complex power system environments.Therefore,utili-zing big data technology for fault diagnosis and prediction in power systems is the correct research direction.
关键词
大数据技术/电力系统/故障诊断与预测Key words
big data technology/power systems/fault diagnosis and prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据