Research on Online Analysis of Carbon Emission Flow in Power Systems for Real-Time Data Exchange in the Power Grid
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.
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