基于ARIMA的变电站用交流电源运行状态监测方法

Monitoring Method for Alternating Current Power Supply Operation Status in Substations Based on ARIMA

由于常规电源运行状态监测方法偏差较大,为解决这一问题,提出基于差分整合移动平均自回归(Auto Regressive Integrated Moving Average,ARIMA)模型的变电站用交流电源运行状态监测方法。采集交流电源运行状态数据样本,梳理数据清洗流程,构建数据清洗模型,清洗状态数据,划分清洗后的数据,使其趋于一个稳定值,将此值与样本数据中心进行比较,从而得到最终监测结果。实验结果表明,应用该方法得出的监测值最趋向于样本数据实际值,验证了该方法监测数据的优越性,具有实际的应用价值。

Due to the large deviation of conventional power supply operation status monitoring methods,a substation alternating current power supply operation status monitoring method based on the Auto Regressive Integrated Moving Average(ARIMA)model is proposed to solve this problem.Collect samples of alternating current power supply operation status data,streamline the data cleaning process,construct a data cleaning model,clean the status data,divide the cleaned data into stable values,compare this value with the sample data center,and obtain the final monitoring results.The experimental results show that the monitoring values obtained by applying this method are most similar to the actual values of the sample data,which verifies the superiority of this method in monitoring data and has practical application value.