摘要
基于大数据的配电变压器停运风险评估及预警思路,适应了电网开放性、复杂性和不确定性的特点,用数据驱动破解变压器运行风险预警难题,并基于spark m Lib机器学习环境和某市10 k V配电变压器运行数据,从数据变化中发现停运事件发生规律,实现了配电变压器停运风险的量化评估与提前预警,同时可为今后类似问题的解决提供借鉴。
Distribution transformer outage risk assessment and early warning method that based on big data is applicable to the characteristics of openness, complexity and uncertainty of power grid, It cracks transformer operation risk early warning problem by data driven, based on the spark m Lib machine to learn a 10 k V distribution transformer operation data, the rules of outrage can be found from the data variation to realize the distribution transformer outage risk of quantitative evaluation and early warning, and provide a reference for solving similar problems in future.
出处
《安徽电力》
2017年第3期47-51,共5页
Anhui Electric Power
关键词
配电变压器
配电网运行
停运风险
大数据
预警
distribution transformer
distribution network operation
outage risk
big data
warning
