Abstract: The concept of smart grid has promoted the development of grid intelligence and informatization. The amount of various types of business data generated by the power system has also increased exponentially， and the abnormal data therein has decisive influnce on the analysis of power data and the stability of grid operation to  a large extent. This article classifies， aralyzes and summarizes the methods for detecting abnormal business data in the power grid. The methods for detecting abnormal business data based on traditional technology and artificial intelligence technology are introduced respectively， and the basic principles and characteristics of each method are analyzed and explained. The challenges and future development trends of abnormal business data detection in power grids are summarized and prospected. This article which provides a certain reference for follow-up research.

Key words: smart grid, business data, outliers detection, artificial intelligence