摘要
随着智能电网的发展和电力市场化改革的深入,电力交易数据量急剧增加,数据类型日趋复杂。有效的数据分类分级对于提升电力系统运行效率、保障电力市场稳定运行具有重要意义。本文旨在深入探讨电力交易数据的分类与分级方法,并分析其在电力交易、市场监管和数据分析等领域的应用。首先,本文分析了电力交易数据的特性,并基于这些特性提出了一个综合的数据分类框架;其次,根据不同级别的数据敏感性和重要性进行了分级研究;在分类与分级的基础上,本文进一步分析了电力交易数据在各个领域的应用。本文通过深入探讨电力交易数据的分类分级管理,为电力市场的规范化、透明化和高效化提供了新的理论和方法指导。
With the development of smart grids and the deepening of electricity marketization reform,the volume of electricity trading data has sharply increased,and the types of data are becoming increasingly complex.Effective data classification and grading are of great significance for improving the efficiency of power system operation and ensuring the stable operation of the power market.This article aims to explore in depth the classification and grading methods of electricity trading data,and analyze their applications in fields such as electricity trading,market regulation,and data analysis.Firstly,this article analyzes the characteristics of electricity trading data and proposes a comprehensive data classification framework based on these characteristics;Secondly,a graded study was conducted based on the sensitivity and importance of data at different levels.On the basis of classification and grading,further analysis was conducted on the application of electricity trading data in various fields.This article provides new theoretical and methodological guidance for the standardization,transparency,and efficiency of the electricity market by delving into the classification and hierarchical management of electricity trading data.
作者
尹亮
郭涛
马跃强
Yin Liang;Guo Tao;Ma Yueqiang(Nsfocus Technologies Group Co.,Ltd.,Beijing,100089)
出处
《工业信息安全》
2024年第4期68-75,共8页
Industry Information Security
关键词
电力交易
数据分类
数据分级
智能电网
电力市场
Electricity Trading
Data Classification
Data Classification
Smart Grid
Electricity Market