Design of power system fault location and diagnosis system based on improved decision tree algorithm

Shanhan Yi

doi:10.1117/12.3009139

27 October 2023 Design of power system fault location and diagnosis system based on improved decision tree algorithm

Shanhan Yi

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129221Q (2023) https://doi.org/10.1117/12.3009139
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

The 10 kV distribution line in the power system has the characteristics of complex network structure and scattered load distribution. The frequency of faults in the line is relatively high, especially the single-phase ground fault, which accounts for more than 80% of the distribution network faults and has strong concealment. The most common and destructive fault in the power grid is the short-circuit fault of the transmission line. During the short-circuit, the instantaneous heat released by the arc and the enormous electric power generated by the short-circuit current can cause serious damage to the electrical equipment. In this regard, this article based on an improved decision tree algorithm to locate power system faults and designed a diagnostic system. The research results indicate that as the number of tested circuit boards increases, the prior probability of faults becomes closer to the actual distribution of faults, and the average diagnostic cost of faults is the lowest among the three algorithms. The average search length of the algorithm in this paper gradually decreases, and the downward jump of the curve indicates that the decision tree structure generated by the corresponding algorithm here has been adjusted. The power system fully and reasonably applies the temporal attributes of alarm information, effectively improving the problem of difficulty in re modeling when topology changes.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shanhan Yi "Design of power system fault location and diagnosis system based on improved decision tree algorithm", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129221Q (27 October 2023); https://doi.org/10.1117/12.3009139

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KEYWORDS

Decision trees

Diagnostics

Design and modelling

Visualization

Power grids

Transformers

Device simulation

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