Dynamic prediction of overhead transmission line ampacity based on the BP neural network using Bayesian optimization

Traditionally, the ampacity of an overhead transmission line (OHTL) is a static value obtained based on adverse weather conditions, which constrains the transmission capacity. With the continuous growth of power system load, it is increasingly necessary to dynamically adjust the ampacity based on we...

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Autori principali:	Yong Sun, Yuanqi Liu, Bowen Wang, Yu Lu, Ruihua Fan, Xiaozhe Song, Yong Jiang, Xin She, Shengyao Shi, Kerui Ma, Guoqing Zhang, Xinyi Shen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-09-01
Serie:	Frontiers in Energy Research
Soggetti:	overhead transmission lines ampacity prediction Bayesian optimization BP neural network risk control
Accesso online:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1449586/full
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