Details

Autor(en) / Beteiligte

• Simin, Luo
• Shuo, Xu
• Le, Luan
• Qianwen, Guo
• Yiping, Cui
• Tian, Liu

Titel

Risk assessment model of 10kV distribution line special transformer trip based on improved TOPSIS algorithm

Ist Teil von

• 2021 International Conference on Intelligent Computing, Automation and Systems (ICICAS), 2021, p.335-338

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• As the final link of the power system, the distribution network can distribute electric energy to power users through distribution equipment. Therefore, it is urgent to evaluate the trip risk of feeder transformer users. Based on the improved TOPSIS algorithm, this paper proposes a user trip risk assessment method for special substations of 10kV distribution lines. First, six risk assessment indicators are extracted from the two dimensions of the environment and the transformer body, the quantitative indicators and the association rules of the user tripping of special transformers, and the feeders are used as the evaluation unit to fill in the indicators to form an evaluation sample. Secondly, combining the entropy method and the analytic hierarchy process to comprehensively weight the indicators, and use the weighted Mahalanobis distance to replace the traditional Euclidean distance to improve the TOPSIS algorithm, and build a 10kV distribution line dedicated substation user trip risk assessment model. Based on the above model, the sample risk assessment coefficient is calculated, and the risk level is divided according to the data distribution characteristics, and the sample risk assessment is completed. Finally, the user data of a 10kV distribution line dedicated to a certain urban power grid in southern China was used to verify the effectiveness of the risk assessment method.