Research on installation strategy of transformer DC bias blocking device based on artificial ant colony intelligent algorithm

Ying Wang; Cong Wang; Wei Cui; Penghan Li; Bochao Yang; Hailiang Lu; Zhitong Tian; Lei Lan

doi:10.1117/12.3050604

12 December 2024 Research on installation strategy of transformer DC bias blocking device based on artificial ant colony intelligent algorithm

Ying Wang, Cong Wang, Wei Cui, Penghan Li, Bochao Yang, Hailiang Lu, Zhitong Tian, Lei Lan

Author Affiliations +

Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 134192Y (2024) https://doi.org/10.1117/12.3050604
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China

Abstract

In order to maximize the utilization rate as well as the economy of the Blocking Device for suppressing the DC Bias of the transformer, it is necessary to conduct a study on the optimal arrangement of the Blocking Device for substations in the region. Firstly, the DC Bias current distribution within the AC grid is obtained by calculating based on the field-circuit combination model. Secondly, by using the ACO (artificial ant colony algorithm), it can reduce the input cost of the Blocking Device as much as possible while the transformer is safe, so as to achieve the best blocking effect with the minimum number of Blocking Devices. Finally, an actual topology model based on a region in Northwest China is established for verification, and the results show that the proposed algorithm can effectively suppress the risk of DC Bias.

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

Citation Download Citation

Ying Wang, Cong Wang, Wei Cui, Penghan Li, Bochao Yang, Hailiang Lu, Zhitong Tian, and Lei Lan "Research on installation strategy of transformer DC bias blocking device based on artificial ant colony intelligent algorithm", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 134192Y (12 December 2024); https://doi.org/10.1117/12.3050604

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