异常电力负荷数据的t检验辨识与修正

Identification and correction to anomalous electric power load data by t test

介绍了电力负荷异常数据的形成原因和分类,针对目前异常数据辨识方法灵敏度不高、易漏判、误判的现状,提出了基于数理统计中t检验对异常数据进行辨识和修正的算法。通过山东电网的实际算例,验证了此方法具有简单、实用、灵敏度和计算效率高的特性。

The reason and classes of anomalous electric power load data are introduced in this paper. To improve the sensitivity of identification, the algorithm based on t test is presented to solve the problems of misidentifying and failing to identify the anomalous data. At last, an application case of Shandong power grid is given to prove that this method has the advantages of simpleness, practicality , sensibility and high efficiency.