基于数据挖掘与数据特征的电力运行状态分析技术研究

Research on power operation status analysis technology based on data mining and data feature

随着科技的进步和信息化的发展,电力系统的数据挖掘与分析应用逐渐成为当今电力行业的热点话题。数据挖掘与分析的应用有助于电力系统运营商更好地了解和管理系统运行状态,从而提高能源的利用效率,进而实现智能化的发展目标。基于此,文章提出了一种基于数据挖掘与数据特征的电力运行状态分析技术。研究结果表明,文章设计的预警方法对至少0.1%以上异常程度的电力数据进行了准确预警操作。可见,该预警方法能够很好地检测出电力运行中的异常数据,能够为智能电力系统的运行和后期维护提供技术参考。

With the progress of science and technology and the development of information technology,the application of data mining and analysis of power system has gradually become a hot topic in the electric power industry.The application of data mining and analysis helps power system operators to better understand and manage the operating state of the system,so as to improve the utilization efficiency of energy and realize the development goal of intelligence.Based on this,this paper proposes a power operation state analysis technology based on data mining and data characteristics.The results show that the method designed in this paper can accurately predict the power data with at least 0.1%abnormal degree.It can be seen that this early warning method can well detect abnormal data in power operation,hoping that the research results can provide technical reference for the operation and later maintenance of intelligent power system.