Research on Identification of Distribution Line Transformer Relationship Based on Power Grid Operation Data

In order to solve the problem of line transformer relationship between 10kV feeder lines and distribution transformers, a method for identifying line transformer relationship is proposed in this paper. Firstly, analyze the operating scenarios of inconsistent line transformer relationship. The identification model of line transformer relationship is established, which is a mixed model of voltage and electricity. The DTW algorithm is used to identify the membership relationship between the busbar and the distribution transformer, achieving preliminary rapid screening of the line transformer relationship. The Bayesian compressive sensing algorithm is used to solve the electricity equation in the mixed model, and the values of the membership matrix are solved to identify the line transformer relationship. Finally, the accuracy and universality of the algorithm identification were verified using actual operating data.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iaecst64597.2024.11117740
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21
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article

Research on Identification of Distribution Line Transformer Relationship Based on Power Grid Operation Data

Ying Zheng, Shaowei Chen
1 citations
Power Systems and Technologies
0.21
article

Research on Identification of Distribution Line Transformer Relationship Based on Power Grid Operation Data

Ying Zheng, Shaowei Chen
article en
1 citations

Abstract

In order to solve the problem of line transformer relationship between 10kV feeder lines and distribution transformers, a method for identifying line transformer relationship is proposed in this paper. Firstly, analyze the operating scenarios of inconsistent line transformer relationship. The identification model of line transformer relationship is established, which is a mixed model of voltage and electricity. The DTW algorithm is used to identify the membership relationship between the busbar and the distribution transformer, achieving preliminary rapid screening of the line transformer relationship. The Bayesian compressive sensing algorithm is used to solve the electricity equation in the mixed model, and the values of the membership matrix are solved to identify the line transformer relationship. Finally, the accuracy and universality of the algorithm identification were verified using actual operating data.

State Grid Corporation of China (China) (CN), American Transmission Company (United States) (US), Shanghai Electric (China) (CN), Zhangzhou Vocational and Technical College (CN)
Affordable and clean energy
Openalex Percentile: Top 43%
Power Systems and Technologies
0.21
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