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- Title
基于分割区域的配电网异常线损数据辨识与修正.
- Authors
张新鹤; 何桂雄; 梁 琛; 马喜平; 何振武; 姜 飞
- Abstract
Given the basic data anomalies and significant redundancy in line loss management within distribution networks, a technique for identifying and correcting abnormal line loss data based on segmented regions is proposed. In view of the redundancy of terminal data, a Kalman filter algorithm is employed to fuse terminal redundant data. Then, by traversing the distribution transformers of various line nodes in the distribution network and using local outlier factor (LOF) algorithm, the operational data are detected. Based on the topological relationship of the distribution networks, the Girvan-Newman (GN) algorithm is used to segment the abnormal nodes. By analyzing the neighboring node measurement data and the imbalance index of the segmented regions, the boundary of the regions is dynamically adjusted until the segmented regions meet the estimated observability conditions. The final division result of segmented regions is obtained, and abnormal data are solved using the measurement model, constraint model, and estimation model within the regions. Finally, an example of the 10 kV Shixin line and Shijin line in a province in Northwest China is used to validate the proposed method. The results demonstrate that the proposed method can identify and correct abnormal line loss data within distribution networks.
- Subjects
KALMAN filtering; DATA distribution; DISTRIBUTION management; OBSERVABILITY (Control theory); ALGORITHMS; RADIAL distribution function; PROVINCES
- Publication
Zhejiang Electric Power, 2023, Vol 42, Issue 10, p90
- ISSN
1007-1881
- Publication type
Article
- DOI
10.19585/j.zjdl.202310011