首页|绿色电力理念下基于改进YOLOX算法的变压器节能与可靠性研究分析

绿色电力理念下基于改进YOLOX算法的变压器节能与可靠性研究分析

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在绿色电力理念的背景下,研究为了解决传统的变压器监测不仅效率低下,而且能耗较高的问题,研究首先对尤洛克斯算法进行了一系列改进,并融合强化学习算法设计出一种新的变压器节能模型.实验结果表明,48 座变电站在应用该方案后的单位时间能耗得到了明显的降低,平均值约为 4 210 kJ,相比应用前下降了 8.76%.以上结果表明,研究提出的变压器节能优化模型具有高可靠性,低能耗等优点,为绿色经济发展提供了新方案.
Research and Analysis on Energy Conservation and Reliability of Transformers Based on Improved YOLOX Algorithm under the Concept of Green Power
In the context of the concept of green power,in order to solve the problem of low efficiency and high energy consumption in traditional transformer monitoring,the study first made a series of improvements to the Eulox algorithm and integrated reinforcement learning algorithms to design a new transformer energy-saving model.The experimental results show that the energy consumption per unit time of 48 substations has been significantly reduced after applying this scheme,with an average value of about 4 210 KJ,a decrease of 8.76%compared to before application.In summary,the energy-saving optimization model for transformers proposed in the study has ad-vantages such as high reliability and low energy consumption,providing a new solution for the development of green economy.

YOLOXreinforcement learningtransformergreen electricity

王宏、宋禹飞、窦如婷、王昕、王庆红

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南方电网科学研究院有限责任公司,广州 510663

中国南方电网有限责任公司,广州 510663

YOLOX 强化学习 变压器 绿色电力

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)