Publication number: 20240337705
Abstract: The present application relates to the technology field of assessment of aging state of oil paper insulation of the large power transformer and quantitative diagnostic, specifically estimating parameters of the circuit through the initial slope of the recovery voltage. It includes an improved mathematical model for solving parameters of the dielectric response equivalent circuit by using the peak of the recovery voltage, the peak time and the initial slope characteristics; transforming the identification of parameters of the equivalent circuit into a mathematical optimization problem, and then solving the mathematical optimization problem using a particle swarm algorithm. The design of the present application can significantly reduce the sampling data of the recovery voltage, and the measured data in the field and the calculated data of different capacity RVM experiments on real transformers have good consistency, which is conducive to the diagnosis of state of oil paper insulation of the transformer.
Type:
Application
Filed:
March 27, 2024
Publication date:
October 10, 2024
Inventors:
Qilong ZHU, Fu LI, Bing WANG, Baode LIN, Tao ZHU, Shizhen LI, Yuntao LIU, Rui ZHANG, Yanyi XIE, Jianlai GUO, Yu ZHANG, Jinkuo CAO, Tao GUO, Yongzhi WANG, Bing DUAN, Yakui DENG, Dong LEI, Yan QING, Yunguang YU, Wei YU, Maobing LI, Lu YANG, Lin GAO, Zhibin TAN, Yanqi YAO, Shaohua JIANG, Wuzheng HE, Haocheng YANG, Yunhong XIONG