The Diagnosis Model of Line Loss Abnormity in Low-voltage Distribution Network Based on The Visualization Technology of Situation Awareness

作者：Yao Li, Linna Ni, Qi Ding, Jiangming Zhang, Guiping Wen · 发表于：2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) · 年份：2021 · DOI：10.1109/aeero52475.2021.9708146 · 被引用次数：1 · 研究领域：Advanced Decision-Making Techniques、Smart Grid and Power Systems、Power Systems and Technologies

This paper proposes a diagnosis model based on situation awareness for the diagnosis and analysis of the type of line loss anomalies in low-voltage distribution network (LVDN). First, sort out all the abnormal line loss causes, and divide them into 12 categories and 46 sub-categories; secondly, use situation awareness technology to generate situation base maps based on distribution network data, and use three-phase line loss calculations and situation base map rendering. After that, cluster analysis and mining of the abnormal situation map of the distribution network line loss, and obtain the abnormal situation map of the typical distribution network line loss, which is convenient for the subsequent rapid detection of the abnormal type of line loss; finally, build the abnormal line loss display of the distribution network based on the compass layout. The model is more conducive to system operators to clearly grasp the abnormal situation of the low-voltage distribution network. The effectiveness of the diagnostic model is verified by an example.