面向电网实时数据交互的电力系统碳排放流在线分析
Research on Online Analysis of Carbon Emission Flow in Power Systems for Real-Time Data Exchange in the Power Grid
钱彦 1花贤军1
作者信息
- 1. 国网浙江杭州市余杭区供电公司,浙江杭州 311100
- 折叠
摘要
文章提出了一种面向电网实时数据交互的电力系统碳排放流在线分析方法,旨在通过实时数据获取和异常识别处理,结合气象因子权重的量化分析,精确计算电力系统中的碳排放流.该方法通过构建气象序列矩阵和无量纲处理,精确量化了气象因子对电力系统出力的影响,并通过滚动式异常识别处理机制动态监测并及时识别电力系统中的异常数据.实践表明,该方法在提高碳排放流分析精度和适应性方面颇具有效性.
Abstract
This paper presents an online analysis method for power system carbon emission flow based on real-time data interaction.The aim is to accurately calculate carbon emission flow in power system through real-time data acquisition,anomaly recognition and quantitative analysis of meteorological factor weights.By constructing meteorological matrix and dimensionless processing,the method accurately quantifies the influence of meteorological factors on power system output,and dynamically monitors and timely recognizes abnormal data in power system through rolling anomaly recognition and processing mechanism.Practice shows that this method is effective in improving the accuracy and adaptability of carbon emission flow analysis.
关键词
碳排放/CO2排放源/电力系统Key words
pilot low-voltage transmission technology/solar term rate/transmission frequency引用本文复制引用
出版年
2024
NETL
NSTL
万方数据