Application of improved VMD and LightGBM models in stator grounding fault protection for powerformers

Chao Xie; Yuanyuan Wang; Gongping Wu; Xiaohan Liu; Ying Liu

doi:10.1117/12.2646313

23 August 2022 Application of improved VMD and LightGBM models in stator grounding fault protection for powerformers

Chao Xie, Yuanyuan Wang, Gongping Wu, Xiaohan Liu, Ying Liu

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233018 (2022) https://doi.org/10.1117/12.2646313
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

Powerformer is a new type of generator developed by ABB. Start with the accuracy of Powerformer stator single-phase grounding protection, a new solution based on improved VMD and LightGBM is proposed. Firstly, synthetic kurtosis is introduced to adaptively optimize the decomposition level K, and the IMF component corresponding to the fault zerosequence current is obtained through VMD; Then, extract the IMF synthetic kurtosis and sensitive IMF comprehensive energy relative entropy and the comprehensive concave-convex coefficient respectively, which are used as three characteristics; Finally, the characteristic vector is formed and input into the LightGBM model to obtain the fault identification result of the Powerformers. Through the simulation in MATLAB, it shows that the accuracy is improved through this measure, which has better anti-noise performance than other schemes.

Citation Download Citation

Chao Xie, Yuanyuan Wang, Gongping Wu, Xiaohan Liu, and Ying Liu "Application of improved VMD and LightGBM models in stator grounding fault protection for powerformers", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233018 (23 August 2022); https://doi.org/10.1117/12.2646313

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