Solution method of three-phase voltage errors in the transformer based on the genetic algorithm

Yao Zhong; Qingchan Liu; Tengbin Li; Junchao Chang; Guangrun Yang

doi:10.1117/12.2680444

31 May 2023 Solution method of three-phase voltage errors in the transformer based on the genetic algorithm

Yao Zhong, Qingchan Liu, Tengbin Li, Junchao Chang, Guangrun Yang

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127040E (2023) https://doi.org/10.1117/12.2680444
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

In terms of the problem of solving the three-phase voltage errors in the transformer, a method for solving the three-phase voltage errors in the transformer is proposed in this paper based on the genetic algorithm. By encoding the numerical groups of the three-phase voltage errors in the transformer and setting constraints such as the three-phase imbalance rate and voltage difference value, errors are solved by multiple rounds of iteration. The results show that the method proposed in this paper can effectively solve the three-phase voltage errors in the transformer, providing support for the metering equipment management to transform from “on-site operation and maintenance + periodic rotation” to “online operation and maintenance + precise rotation.”

Citation Download Citation

Yao Zhong, Qingchan Liu, Tengbin Li, Junchao Chang, and Guangrun Yang "Solution method of three-phase voltage errors in the transformer based on the genetic algorithm", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127040E (31 May 2023); https://doi.org/10.1117/12.2680444

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