Application of DE-ELM Algorithm in SF6 Circuit Breaker Contact Ablation Evaluation

Abstract

When assessing the ablation status of circuit breaker contacts, the average dynamic contact resistance of the arc contacts of high-voltage SF6 circuit breakers is crucial. The average dynamic contact resistance of arc contacts on circuit breakers under various current levels may be accurately predicted using a method based on a differential evolution algorithm and extreme learning machine (DE-ELM), which is suggested in this research. Combining optimization algorithms yields the ideal input weight and hidden layer bias of the ELM method. The DE-ELM approach has outstanding anticipation performance for anticipation data under various current levels when compared to other anticipation methods. Finally, an expert system for assessing the ablation state of contacts based on the DE-ELM algorithm is created using the average dynamic contact resistance data of arc contacts predicted by DE-ELM. As a guide for the upkeep of high-voltage SF6 circuit breakers, the ablation status of contacts is categorized into four grades: A-level ablation, B-level ablation, C-level ablation, and D-level ablation.

Keywords:

• SF6 circuit breaker
• contact ablation
• differential evolution algorithm
• extreme learning machine
• expert system

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by Applied Basic Research Program of Liaoning Province, Liaoning Applied Basic Research Plan (2022JH2/101300251).

Notes on contributors

Siyuan Liu

Siyuan Liu (1998-) graduate student majoring in electrical engineering at Shenyang Institute of Engineering.

Bo Li

Bo Li (1980-) Ph.D, associate professor, master supervisor, whose research direction is online data analysis of power system.

Liang Wang

Liang Wang (1983-) Ph.D, associate professor,master supervisor, whose research direction is fault analysis of Power equipment.

Xiangfeng Wang

Xiangfeng Wang (1981-) associate professor at Shenyang Institute of Engineering.

Cunyu Zou

Cunyu Zou (1997-) graduate student majoring in electrical engineering at Shenyang Institute of Engineering.