Construction of intelligent topology identification system for low-voltage distribution network based on machine learning algorithm

Guodong Jia; Jianxiong Gan; Ran Huo

doi:10.1117/12.3054178

11 December 2024 Construction of intelligent topology identification system for low-voltage distribution network based on machine learning algorithm

Guodong Jia, Jianxiong Gan, Ran Huo

Author Affiliations +

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 1344509 (2024) https://doi.org/10.1117/12.3054178
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

Firstly, this article introduces the background and purpose of Low-Voltage Distribution Network (LVDN) topology intelligent identification system. The characteristics and importance of LVDN are expounded. The method and steps of applying machine learning (ML) algorithm to intelligent topology identification system of LVDN are introduced in detail. Then, the relevant data of LVDN are collected, preprocessed and feature extracted. The intelligent topology identification model of LVDN is constructed by using Deep Learning (DL) algorithm, and it is trained and optimized. Finally, this article makes a simulation study on the topology intelligent identification system of LVDN. A LVDN simulation model was established, corresponding topology structures were generated, and simulation data was input into the LVDN topology intelligent recognition model for training and testing; The identification results were analyzed and compared, verifying the feasibility and effectiveness of this method. By comparing the experimental results with the performance of traditional methods, it is found that the efficiency of this system is improved by about 19% compared with traditional RNN. Moreover, the recognition accuracy of the system is high, which can reach about 96%. Its research has certain theoretical and practical value.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guodong Jia, Jianxiong Gan, and Ran Huo "Construction of intelligent topology identification system for low-voltage distribution network based on machine learning algorithm", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 1344509 (11 December 2024); https://doi.org/10.1117/12.3054178

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KEYWORDS

Intelligence systems

Data modeling

Education and training

System identification

Feature extraction

Machine learning

Performance modeling

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