电网异常业务数据检测方法综述

Review of Abnormal Service Data Detection Methods in Power Grid

智能电网概念的提出推动了电网智能化和信息化的发展,电力系统产生的各种类型的业务数据量也呈指数增长,其中产生的异常数据在很大程度上对电力数据分析和电网运行稳定性有着决定性的影响。本文对电网异常业务数据检测方法进行整理分类、分析和总结,分别介绍基于传统技术和基于人工智能技术的异常业务数据检测方法,分析和阐述每种方法的基本原理和特点,总结和展望电网异常业务数据检测所面临的挑战和未来的发展趋势,为后续研究提供一定的参考。

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.